Evaluating Similarity of Spectrogram-like Images of DC Motor Sounds by Pearson Correlation Coefficient

Ćirić, Dejan; Perić, Zoran; Milenkovic, Marko; Vučić, Nikola

doi:10.5755/j02.eie.31041

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…Pearson correlation coefficient is a linear correlation coefficient, which can be used to reflect the statistics of the linear correlation degree of two variables and describe the degree of linear correlation between two variables (Chen et al, 2022). If its absolute value is larger, it indicates that the correlation between the two vectors is stronger (Ciric et al, 2022).…”

Section: Rationality Evaluation Of Index System Based On Pearson Corr...mentioning

confidence: 99%

RETRACTED: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality

Feng

2023

Front. Environ. Sci.

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Using data mining to improve the efficiency of government governance in the context of carbon neutrality is an important way to achieve the modernization of the national governance system. This study starts with the logic of carbon neutral issues, analyzes the factors and indicators that affect the effectiveness of social governance, and constructs the evaluation index system of government social governance efficiency based on data mining application under the background of carbon neutral, including per capita GDP, per capita domestic power consumption of residents, per capita CO2 emissions, per capita green area, industrial waste gas treatment rate, industrial wastewater discharge compliance rate and other indicators, which includes 4 first-class indicators, 19 second-class indicators and 38 third class indicators. Then, the CV-CRITICAL (coefficient of variation critical) index weight determination algorithm is used to determine the index weight. The Pearson correlation coefficient method is used to evaluate the correlation between the two vectors, and then the rationality of the government social governance efficiency evaluation index system based on data mining applications is evaluated. The evaluation results show that the level of social governance effectiveness of the Chinese government is on the rise from 2016 to 2021. This study promotes the application of improving the efficiency of government social governance in the context of carbon neutrality, and provides tools for relevant assessment through data mining technology. This research can not only deepen the theoretical connotation of government governance effectiveness, but also help promote the application of big data in government governance practice.

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Section: Rationality Evaluation Of Index System Based On Pearson Corr...mentioning

confidence: 99%

RETRACTED: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality

Feng

2023

Front. Environ. Sci.

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“…To assess the effectiveness of GAN-EIT, we measured the similarity between the GAN-EIT image and the ground truth using the Pearson correlation coefficient (PCC) [26] and structural similarity indices (SSIM) [27]. PCC is a statistical measure of the strength of the linear relationship between two variables and determines how related two variables are to each other.…”

Section: Evaluation Metricmentioning

confidence: 99%

Metal Particle Detection by Integration of a Generative Adversarial Network and Electrical Impedance Tomography (GAN-EIT) for a Wet-Type Gravity Vibration Separator

Ibrahim,

Sejati,

Darma

et al. 2023

Sensors

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The minor copper (Cu) particles among major aluminum (Al) particles have been detected by means of an integration of a generative adversarial network and electrical impedance tomography (GAN-EIT) for a wet-type gravity vibration separator (WGS). This study solves the problem of blurred EIT reconstructed images by proposing a GAN-EIT integration system for Cu detection in WGS. GAN-EIT produces two types of images of various Cu positions among major Al particles, which are (1) the photo-based GAN-EIT images, where blurred EIT reconstructed images are enhanced by GAN based on a full set of photo images, and (2) the simulation-based GAN-EIT images. The proposed metal particle detection by GAN-EIT is applied in experiments under static conditions to investigate the performance of the metal detection method under single-layer conditions with the variation of the position of Cu particles. As a quantitative result, the images of detected Cu by GAN-EIT ψ̿GAN in different positions have higher accuracy as compared to σ*EIT. In the region of interest (ROI) covered by the developed linear sensor, GAN-EIT successfully reduces the Cu detection error of conventional EIT by 40% while maintaining a minimum signal-to-noise ratio (SNR) of 60 [dB]. In conclusion, GAN-EIT is capable of improving the detailed features of the reconstructed images to visualize the detected Cu effectively.

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Performance zoning method of asphalt pavement in cold regions based on climate Indexes: A case study of Inner Mongolia, China

Zhao

Zhang

et al. 2022

Construction and Building Materials

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Evaluating Similarity of Spectrogram-like Images of DC Motor Sounds by Pearson Correlation Coefficient

Cited by 6 publications

References 12 publications

RETRACTED: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality

RETRACTED: Research on the path to improve the efficiency of government social governance based on data mining technology under the background of carbon neutrality

Metal Particle Detection by Integration of a Generative Adversarial Network and Electrical Impedance Tomography (GAN-EIT) for a Wet-Type Gravity Vibration Separator

Performance zoning method of asphalt pavement in cold regions based on climate Indexes: A case study of Inner Mongolia, China

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