Multidimensional BSDE with Poisson jumps of Osgood type

Sagna, Yaya

doi:10.2478/amns.2019.2.00034

Cited by 25 publications

(4 citation statements)

References 9 publications

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“…It can be seen from Figure 4 that the pressure distribution is uniform under the large flow and design conditions while uneven under small flow conditions since local high-pressure zones appears near the inlet and outlet of the front guide vane. For all these three working conditions, the local low-pressure zones appear at the outlet of the front guide vane, which is consistent with recent researches [22,23]. The outlet velocity distribution of the front guide vane is relatively uniform under the large flow and the design flow conditions, since no obvious vortexes and secondary flows appear.…”

Section: Numerical Simulation For Radial Guide Vanesupporting

confidence: 90%

The effect of guide vane type on performance of multistage energy recovery hydraulic turbine (MERHT)

Tian

Zheng³

2020

Open Physics

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In this work, we theoretically analyzed the main factors affecting performance of multistage energy recovery hydraulic turbine (MERHT), and found that the arc radius (r) of the edge at the outlet section of the runner guide vane is the determining factor of the hydraulic efficiency of hydraulic turbines. To further improve the performance of the MERHT, a numerical model is then proposed to optimize the arc radius. The MERHT-type DCSGT250-175 × 9 was taken in the simulation. The hydraulic efficiency ηh and the corresponding distributions of pressure and velocity were numerically studied with four different values of r ranging from 133.5 to 138 mm. It is found that the flow state and the flow field distribution were the best when r equals to 134 mm. With the optimum r, the external diameter of the runner guide vane (D) was further adjusted, which can lead to 3.9% increase of average efficiency according to the simulation results.

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Section: Numerical Simulation For Radial Guide Vanesupporting

confidence: 90%

The effect of guide vane type on performance of multistage energy recovery hydraulic turbine (MERHT)

Tian

Zheng³

2020

Open Physics

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“…Through comparison and verification of the experimental results, the method of feature plane similarity matching can be used to clearly and efficiently detect the differences and standards of moving objects in the analysis of motion poses. It has high robustness and lays the foundation for scientific training in dance basis [18].…”

Section: Geometric Relationshipmentioning

confidence: 99%

Research on motion capture of dance training pose based on statistical analysis of mathematical similarity matching

Chen

Al-Barakati

Gui

2021

Applied Mathematics and Nonlinear Sciences

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In order to verify the effectiveness and feasibility of the combination of motion capture technology and teaching, based on dance teaching, this paper proposes a dance posture analysis method based on feature vector matching and applies it to dance teaching.. The main research work includes the following: (1) according to the characteristics of human motion poses-free editing, extracting human skeleton models, establishing a human motion model database, analysing the application of motion capture systems in dance training, and proposing a method of feature plane similarity matching to calculate model components and motion parameters. After verification, the method has high accuracy and robustness for the analysis of human posture, so that dancers can accurately compare the differences with standard dance movements, and provide theoretical support for scientific dance training. (2) Aiming at the complexity of learning dance, a dance teaching method based on motion capture technology is proposed. Using motion capture technology, a whole complex dance movement is decomposed into many small segments to make a teaching animation, which guides students to learn based on small dance movement. Imitation makes the abstract theory vivid, intuitive and easy to understand, which is conducive for the innovation of education and teaching methods.

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“…The GA has a wide range of applications in a multitude of sectors, like in task scheduling problems in cloud computing [3], hybrid gene selection approach for cancer classification [4], heat exchanger networks [5], structural crack detection [6], nervous stomach nonlinear model [7], and mosquito dispersal model [8]. The significant potential of the heuristic computing scheme based on stochastic solvers is exploited to solve linear and nonlinear models by using the high predictive potential of artificial neural networks (ANNs) beneath the optimization of global and local search techniques [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan

Shoaib

Abukhaled

Kainat

et al. 2022

Int J Comput Intell Syst

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Numerical treatment of the COVID-19 transposition and severity in Romania and Pakistan has been presented in this study, i.e., ANN-GA-SQP through artificial neural network genetic algorithms (ANN-GA) and sequential quadratic programming (SQP), a design of an integrated computational intelligent paradigm, COVID-19 is widely considered to be the greatest health threat humanity has ever faced. In terms of both health and economics, COVID-19 is a huge disaster. Many academics have looked at the COVID-19 model in their research papers, although they use different traditional techniques to represent it. The use of hybrid suggested solutions to solve this issue in the present article is significant, demonstrating the study's novelty. The SIR model of COVID-19 consists of a susceptible, infectious, and recovered class of population. The activation function for the construction of functions based on fitness in mean squared error sense is developed using nonlinear equations of the COVID-19 SIR model for the best performance of ANN-GA-SQP with the combined potential of GA and SQP of a network. While detailed refining is done with efficient local search with SQP, GAs operates as a global search. In addition, a neuron analysis will be presented to verify the effectiveness and complexity of the proposed method. Adam’s numerical methodology is applied to compare the sustainability and efficacy of the presented paradigm. Analytical evaluations of mean, median, and semi-interquartile range values, as well as Theil’s inequality coefficients, root mean squared error, and mean of absolute deviation) values have been observed. The convergence and correctness of the ANN-GA-SQP approach are further validated by statistical analyses.

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Multidimensional BSDE with Poisson jumps of Osgood type

Abstract: This paper is devoted to solve a multidimensional backward stochastic differential equation with jumps in finite time horizon. Under linear growth generator, we prove existence and uniqueness of solution.

Cited by 25 publications

References 9 publications

The effect of guide vane type on performance of multistage energy recovery hydraulic turbine (MERHT)

The effect of guide vane type on performance of multistage energy recovery hydraulic turbine (MERHT)

Research on motion capture of dance training pose based on statistical analysis of mathematical similarity matching

Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan

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