Mathematical models of the radiofrequency ablation enable to plan, monitor and control interventions allowing to predict and improve their outcome. A system of coupled partial differential equations suitable for plann...
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Mathematical models of the radiofrequency ablation enable to plan, monitor and control interventions allowing to predict and improve their outcome. A system of coupled partial differential equations suitable for planning, analysis and real time implementation is proposed to model the multipolar radiofrequency ablation under consideration of capillary blood perfusion in the spine. To address the multipolar operation, time dependent boundary conditions to the model are introduced. Accounting for the application in the spine, consisting of various tissue types, we consider spatially distributed model parameters. Since the spatially distributed parameters play a key role, analytic expressions for a sensitivity analysis are derived. Based on the model, simulations are performed underlining the quality of the approach and analysing the influence of the spatially distributed parameters.
By taking into account the hits-density imaging technique that has been introduced by authors' previous publications, the acoustic emission bursts emitted from the automatic-gauge-control hydraulic cylinder under ...
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By taking into account the hits-density imaging technique that has been introduced by authors' previous publications, the acoustic emission bursts emitted from the automatic-gauge-control hydraulic cylinder under normal loading and early-stage vibration were investigated. First, six acoustic emission descriptors that showed significance regarding the cumulative probability distribution were visualised, followed by the reconstruction of the hits-density images using these features;Through the visual examination of the hits-density images regarding the cylinders' normal loading and early-stage vibration, apparent visual differences between normal and early-stage vibration under the same loading can be observed;By projecting the hits-density images onto the principal component space, a trajectory which represents the condition developments was observed, which shows a visual-based resolution for dealing with vast transient bursts data reduction,reconstruction and visualisation.
In this paper, a discrete mathematical approach to solve scheduling of multi-pipeline systems for petroleum products under demand uncertainty is presented. To deal with the uncertainty, the conditional value-at-risk(C...
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In this paper, a discrete mathematical approach to solve scheduling of multi-pipeline systems for petroleum products under demand uncertainty is presented. To deal with the uncertainty, the conditional value-at-risk(CVAR) analysis is adopted as a risk measure. Firstly an improved scheduling approach is proposed to model the multi-pipeline system with the consideration of different pipeline segment sizes. The improved formulation is computationally intractable when pipeline segments have distinct capacities. Then the model takes a scenario-based approach to cope with uncertainty in a CVAR framework. Computational results are presented to demonstrate the effectiveness of the proposed approach. All the instances are implemented using CPLEX.
This contribution presents a new methodology for the online identification, which allows the modeling of the stationary and dynamic behavior of nonlinear combustion engines with many input and output variables in shor...
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Hybrid electric vehicles offer the possibility of driving electrically with the combustion engine shut off. However, this leads to cooling of the catalyst, which may significantly worsen the vehicle emissions. In this...
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The extension of the backstepping-based state observer design is considered for general periodic quasi-linear parabolic PDEs in one space dimension. Here, the extended linearization combined with a suitable coordinate...
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For a cone-beam three-dimensional computed tomography (3D-CT) scanning system, voxel size is an important indicator to guarantee the accuracy of data analysis and feature measurement based on 3D-CT images. Meanwhile...
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For a cone-beam three-dimensional computed tomography (3D-CT) scanning system, voxel size is an important indicator to guarantee the accuracy of data analysis and feature measurement based on 3D-CT images. Meanwhile, the voxel size changes with the movement of the rotary stage along X-ray direction. In order to realize the automatic calibration of the voxel size, a new and easily-implemented method is proposed. According to this method, several projections of a spherical phantom are captured at different imaging positions and the corresponding voxel size values are calculated by non-linear least-square fitting. Through these interpolation values, a linear equation is obtained that reflects the relationship between the voxel size and the rotary stage translation distance from its nominal zero position. Finally, the linear equation is imported into the calibration module of the 3D-CT scanning system. When the rotary stage is moving along X-ray direction, the accurate value of the voxel size is dynamically exported. The experimental results prove that this method meets the requirements of the actual CT scanning system, and has virtues of easy implementation and high accuracy.
This contribution presents a new methodology for the online identification, which allows the modeling of the stationary and dynamic behavior of nonlinear combustion engines with many input and output variables in shor...
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This contribution presents a new methodology for the online identification, which allows the modeling of the stationary and dynamic behavior of nonlinear combustion engines with many input and output variables in short time with an appropriate model structure. The used models are local polynomial model trees. The necessary enhancements and adaptations of the identification algorithm for local polynomial model trees for the online methodology are presented. To enable an online identification, not only the parameters but also the structure of the models has to be adapted to the ongoing measuring procedure at a test bench. This structure adaptation methods use iteratively recorded measured data for the determination of an optimized model partition and regressor selection regarding the quality and complexity of the model. This maximizes the iterative improvement of the mathematical model, leading to a reduced test bench time. The applicability of the developed methodology is shown for the identification of a model from both, an artificial test function as well as a real diesel engine.
In this paper, an effective motion comparison method based on segmented multi-joint line graphs combined with the SIFT feature matching method is proposed. Firstly, the multi-joint 3D motion data are captured using th...
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The wind is the main factor to influence the propagation of gas in the atmosphere. Therefore, the wind signal obtained by anemometer will provide us valuable clues for searching gas leakage sources. In this paper, the...
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