Construction of English Teaching Ability Evaluation Model Based on Fuzzy K-means Clustering

Meng, Qingling

doi:10.1109/isaiee55071.2021.00079

Cited by 4 publications

(2 citation statements)

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“…Multifractal theory utilizes spectral functions to describe structural behavior caused by different data levels within evolving fractal structures under varying local conditions, providing a more detailed description of rock fracture evolution processes . Applying multifractal theory for analyzing CT scan images , and NMR spectra is an effective means for quantitatively evaluating pore distribution and fracture structure in complex reservoirs. Furthermore, multifractal theory can also be employed for analyzing infrared thermal images to provide quantitative indices for infrared monitoring of rock failure events .…”

Section: Introductionmentioning

confidence: 99%

Multifractal Analysis for the Acoustic Emission Energy Dissipation of Shale after Long-Term Immersion in Fracturing Fluids with Various pH

Xie,

Tan,

Lyu

et al. 2023

Energy Fuels

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The interaction between shale and fracturing fluids will change the internal pore structure and adsorption capacity of shale, which have an important impact on shale gas productivity. This study aims to investigate the variations in acoustic emission (AE) energy and multifractal characteristics of shale under different pH values of fracturing fluids with implications for shale gas productivity. A series of immersion experiments were carried out on shale with fracturing fluids, with pH values of 6, 7, and 8, respectively. The uniaxial compression tests and AE tests were conducted on shale under fracturing fluid immersion with pH values of 6, 7, and 8. The multifractal theory is applied to analyze the evolution of fracture closure and propagation during uniaxial compression based on AE signals. The study also examines the deformation and crack evolution of shale after long-term fracturing fluid immersion, with particular emphasis on fluid−rock reactions. The results show that the maximum cumulative AE energy of shale after immersion is higher than that of intact shale. The focus is on understanding the fracture evolution process of shale during uniaxial compression at different stages. The fluid−rock reactions determine the deformation and crack evolution of shale after longterm fracturing fluid immersion. The increase of shale spectrum width Δα after immersion indicates that the distribution of AE signals is more uneven after immersion. The Δf value of shale after acid fracturing fluid soaking changes more significantly than those of neutral or alkaline fracturing fluids. All the fractal spectra of shale samples generally show a left-skewed distribution. The values of spectrum parameters are affected by soaking fluid, soaking time, and compression stages, resulting in the variation of multifractal characteristics. Hydration expansion of clay minerals is dominant in the middle and late period of immersion. The research results have a certain guidance for understanding the deformation and crack evolution and the influence of rock−fluid reactions on the failure process of shale samples.

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Section: Introductionmentioning

confidence: 99%

Multifractal Analysis for the Acoustic Emission Energy Dissipation of Shale after Long-Term Immersion in Fracturing Fluids with Various pH

Xie,

Tan,

Lyu

et al. 2023

Energy Fuels

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show abstract

“…A good evaluation system has a guiding function, which leads the evaluator to work hard towards a specific goal. At the same time, feedback is also provided for the evaluated teachers so that they can know their own teaching situation in time, revise teaching plans, and improve teaching methods according to the feedback information [12,13]. As the above evaluation system is carried out for teachers of all courses in the whole school (college), the evaluation indicators are single and stereotyped.…”

Section: Introductionmentioning

confidence: 99%

Research on College English Teaching Quality Assessment Method Based on K-Means Clustering Algorithm

Lang

2022

Mathematical Problems in Engineering

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The evaluation of college teachers’ teaching ability is very important. Currently, the indicators for evaluating the quality of college English teaching are unclear and insufficient. This paper evaluates the quality of university classroom teaching from two aspects: students’ learning effect and teachers’ teaching work. This paper employs the K-means algorithm to analyze the relationship between the indicators in the evaluation model and teachers’ teaching ability, finds out the specific factors that affect teaching activities, and guides the implementation of teachers’ teaching work. At the same time, the K-means model is used to evaluate students’ learning effect, identify the relationship between the indicators in the model and teachers’ teaching ability, and find out the specific factors that affect teachers to guide the implementation of teachers’ teaching work. Experiments show that the method proposed in this paper can solve the problem that the evaluation indicators of traditional evaluation methods are not clear and insufficient and can be better applied to teaching evaluation.

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Evaluation Model of College English Teaching Effect Based on Big Data Platform

Gan¹

2023

Application of Big Data, Blockchain, and Internet of Things for Education Informatization

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Construction of English Teaching Ability Evaluation Model Based on Fuzzy K-means Clustering

Cited by 4 publications

References 0 publications

Multifractal Analysis for the Acoustic Emission Energy Dissipation of Shale after Long-Term Immersion in Fracturing Fluids with Various pH

Multifractal Analysis for the Acoustic Emission Energy Dissipation of Shale after Long-Term Immersion in Fracturing Fluids with Various pH

Research on College English Teaching Quality Assessment Method Based on K-Means Clustering Algorithm

Evaluation Model of College English Teaching Effect Based on Big Data Platform

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