A Comparison of Root Mean Square Errors on Skeletonization Methods [PDF]
Vectorization is the most fundamental operation in interpretation of line drawings and document analysis. There are several reasons for converting image vectorization. Vector data is normally created from existing natural source image like photographs, scanned images.
Neeti Daryal, Vinod Kumar
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Creativity is fundamental to the overall progress of humanity and hence identified as a key competence required for being successful in the 21st century.
Ekta Sharma +8 more
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Improving Accuracy of Solar Cells Parameters Extraction by Minimum Root Mean Square Error [PDF]
This paper presents a technique for enhancing the accuracy of parameters extraction of photovoltaic (PV) cells from experimental current-voltage (I-V) curve. This technique is based on entering nearly all the possible points of an I-V curve to extract the slopes near the open circuit voltage and short circuit current to determine approximate values of ...
Atia, Abdulhamid, Anayi, Fatih, Min, Gao
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Relationshio between Root Mean Square Error and Probable Error.
The relationship between Root Mean Square (RMS) error and probable error was investigated under the condition of normal distribution with independent x, y and z error components. In the ideal case of no bias and equal standard deviations (in the case of two or three dimensions), the ratios of 90% probable error to RMS error are 1.645 (one dimensional ...
Ryutaro TATEISHI, Chengang WEN
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Convergence of Monte Carlo simulations involving the mean-reverting square root process [PDF]
The mean-reverting square root process is a stochastic differential equation (SDE) that has found considerable use as a model for volatility, interest rate, and other financial quantities.
Higham, D.J., Mao, X.
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Confirmatory factor analysis of the Test of Performance Strategies (TOPS) among adolescent athletes [PDF]
The aim of the present study was to examine the factorial validity of the Test of Performance Strategies (TOPS; Thomas et al., 1999) among adolescent athletes using confirmatory factor analysis.
Andrew M Lane +12 more
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Soundness and completeness of quantum root-mean-square errors [PDF]
AbstractDefining and measuring the error of a measurement is one of the most fundamental activities in experimental science. However, quantum theory shows a peculiar difficulty in extending the classical notion of root-mean-square (rms) error to quantum measurements.
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Generalized Post-Widder inversion formula with application to statistics [PDF]
In this work we derive an inversion formula for the Laplace transform of a density observed on a curve in the complex domain, which generalizes the well known Post-Widder formula.
Belomestny, Denis +2 more
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Support Vector Machine to Predict Electricity Consumption in the Energy Management Laboratory
Predicted electricity consumption is needed to perform energy management. Electricity consumption prediction is also very important in the development of intelligent power grids and advanced electrification network information.
Azam Zamhuri Fuadi +2 more
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DENSE IMAGE MATCHING FOR MARS EXPRESS HRSC IMAGERY BASED ON PRECISE POINT PREDICTION METHOD [PDF]
Currently, Mars Express HRSC imagery is an essential data source to derive high accuracy Mars topographic data. In view of the characteristics of Martian surface satellite imagery, a dense image matching scheme for HRSC imagery based on precise point ...
X. Geng +5 more
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