Performance evaluation of improved ANOVA-tuned MPPT controlled DC–DC boost converter for SPV system

Padmanaban, Meganathan; Chinnathambi, Sasi; Parthasarathy, Pugazhendiran; Pachaivannan, Nammalvar

doi:10.1080/00207217.2022.2068668

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Degrees of freedom were expressed as the numeral values that change unconditionally from each other. The regressive exclusion process spontaneously reduces the relations that are not substantial; thus subsequent ANOVA 36 table is associated with a reduced Quadratic model for absorption coefficient (mua), reduced scattering coefficient (mus), and photonic flux (phi). ( 4) www.nature.com/scientificreports/…”

Section: Analysis Of Anova the Test Significance Of The Regression Mo...mentioning

confidence: 99%

Regression analysis on forward modeling of diffuse optical tomography system for carcinoma cell detection

Maheswari¹,

Thilak²,

SenthilKumar³

et al. 2023

Sci Rep

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The forward model design was employed in the Diffuse Optical Tomography (DOT) system to determine the optimal photonic flux in soft tissues like the brain and breast. Absorption coefficient (mua), reduced scattering coefficient (mus), and photonic flux (phi) were the parameters subjected to optimization. The Box–Behnken Design (BBD) method of the Response Surface Methodology (RSM) was applied to enhance the Diffuse Optical Tomography experimental system. The DC modulation voltages applied to different laser diodes of 850 nm and 780 nm wavelengths and spacing between the source and detector are the two factors operating on three optimization parameters that predicted the result through two-dimensional tissue image contours. The analysis of the Variance (ANOVA) model developed was substantial (R2 = > 0.954). The experimental results indicate that spacing and wavelength were more influential factors for rebuilding image contour. The position of the tumor in soft tissues is inspired by parameters like absorption coefficient and scattering coefficient, which depend on DC voltages applied to the Laser diode. This regression method predicted the values throughout the studied parameter space and was suitable for enhancement learning of diffuse optical tomography systems. The range of residual error percentage evaluated between experimental and predicted values for mua, mus, and phi was 0.301%, 0.287%, and 0.1%, respectively.

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Section: Analysis Of Anova the Test Significance Of The Regression Mo...mentioning

confidence: 99%

Regression analysis on forward modeling of diffuse optical tomography system for carcinoma cell detection

Maheswari¹,

Thilak²,

SenthilKumar³

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

Development of a poly-generation layout centered on the utilization of rice straw triggered by an air-gas turbine cycle; Multi-facet optimization

Abo-Khalil,

Fouad,

Singh

et al. 2024

Process Safety and Environmental Protection

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Performance evaluation of improved ANOVA-tuned MPPT controlled DC–DC boost converter for SPV system

Cited by 2 publications

References 15 publications

Regression analysis on forward modeling of diffuse optical tomography system for carcinoma cell detection

Regression analysis on forward modeling of diffuse optical tomography system for carcinoma cell detection

Development of a poly-generation layout centered on the utilization of rice straw triggered by an air-gas turbine cycle; Multi-facet optimization

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