The Experts below are selected from a list of 258 Experts worldwide ranked by ideXlab platform
Francisco J Heredia - One of the best experts on this subject based on the ideXlab platform.
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simplified method for the screening of technological maturity of red grape and total phenolic compounds of red grape skin application of the Characteristic Vector method to near infrared spectra
Journal of Agricultural and Food Chemistry, 2015Co-Authors: Julio Nogalesbueno, Fernando Ayala, Jose Miguel Hernandezhierro, Francisco J Rodriguezpulido, J F Echavarri, Francisco J HerediaAbstract:Characteristic Vector analysis has been applied to near-infrared spectra to extract the main spectral information from hyperspectral images. For this purpose, 3, 6, 9, and 12 Characteristic Vectors have been used to reconstruct the spectra, and root-mean-square errors (RMSEs) have been calculated to measure the differences between Characteristic Vector reconstructed spectra (CVRS) and hyperspectral imaging spectra (HIS). RMSE values obtained were 0.0049, 0.0018, 0.0012, and 0.0012 [log(1/R) units] for spectra allocated into the validation set, for 3, 6, 9, and 12 Characteristic Vectors, respectively. After that, calibration models have been developed and validated using the different groups of CVRS to predict skin total phenolic concentration, sugar concentration, titratable acidity, and pH by modified partial least-squares (MPLS) regression. The obtained results have been compared to those previously obtained from HIS. The models developed from the CVRS reconstructed from 12 Characteristic Vectors presen...
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simplified method for calculating colour of honey by application of the Characteristic Vector method
Food Research International, 2007Co-Authors: Lourdes M Gonzalezmiret, Fernando Ayala, Anass Terrab, Federico J Echavarri, Ignacio A Negueruela, Francisco J HerediaAbstract:Abstract A quick and simple method to obtain the colour of honeys with minimum error is proposed. Characteristic Vector analysis has been tested and proved to be applicable to the reconstruction of honey reflectance spectra. Expressions for tristimulus values are obtained as function of reflectance measurements at a few wavelengths. Different sets of reflectance were tested (from 3 to 6 wavelengths) showing better results as the number of Characteristic Vectors (wavelengths) increases. The measures were made both over white and over black backing. Results showed that, when spectrophotometric measurements are made with 10 mm pathlength cells, the determination of reflectance at four wavelengths (443, 530, 554, and 618 nm for white backing; 439, 488, 555 and 636 nm for black backing) is adequate to reconstruct the spectrum and to obtain the tristimulus chromatic Characteristics. The black backing measurements showed better results, being 74% and 57% (black and white backing measurements, respectively) the percentage of samples giving colour differences less than 1 CIELAB unit between the calculated coordinates and those obtained from the whole visible spectra.
Zhou Ruiqiong - One of the best experts on this subject based on the ideXlab platform.
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attribute reduction algorithm of continuous domain decision table based on fuzzy set
Computer Engineering, 2010Co-Authors: Zhou RuiqiongAbstract:Combining fuzzy set with rough set,attribute reduction algorithm of continuous domain decision table is studied.Continuous attribute values are transformed into fuzzy values with triangular membership function.Similarity degree of two fuzzy objects and similarity class of each fuzzy object are defined.Characteristic Vector of continuous attribute which is made up of similarity class of each fuzzy object is provided.Digital Characteristic Vector of continuous attribute is presented and similar matrix of continuous attributes is proposed.A new attribute reduction algorithm is provided.Also,the algorithm is verified through an illustrative example.
Krishanu Mandal - One of the best experts on this subject based on the ideXlab platform.
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on a type of almost kenmotsu manifolds with nullity distributions
Arab Journal of Mathematical Sciences, 2017Co-Authors: Uday Chand De, Krishanu MandalAbstract:Abstract The object of the present paper is to characterize Weyl semisymmetric almost Kenmotsu manifolds with its Characteristic Vector field ξ belonging to the ( k , μ ) ′ -nullity distribution and ( k , μ ) -nullity distribution respectively. Also we characterize almost Kenmotsu manifolds satisfying the curvature condition C ⋅ S = 0 , where C and S are the Weyl conformal curvature tensor and Ricci tensor respectively with its Characteristic Vector field ξ belonging to the ( k , μ ) ′ -nullity distribution. As a consequence of the main results we obtain several corollaries. Finally, we present an example to verify our results.
Fernando Ayala - One of the best experts on this subject based on the ideXlab platform.
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simplified method for the screening of technological maturity of red grape and total phenolic compounds of red grape skin application of the Characteristic Vector method to near infrared spectra
Journal of Agricultural and Food Chemistry, 2015Co-Authors: Julio Nogalesbueno, Fernando Ayala, Jose Miguel Hernandezhierro, Francisco J Rodriguezpulido, J F Echavarri, Francisco J HerediaAbstract:Characteristic Vector analysis has been applied to near-infrared spectra to extract the main spectral information from hyperspectral images. For this purpose, 3, 6, 9, and 12 Characteristic Vectors have been used to reconstruct the spectra, and root-mean-square errors (RMSEs) have been calculated to measure the differences between Characteristic Vector reconstructed spectra (CVRS) and hyperspectral imaging spectra (HIS). RMSE values obtained were 0.0049, 0.0018, 0.0012, and 0.0012 [log(1/R) units] for spectra allocated into the validation set, for 3, 6, 9, and 12 Characteristic Vectors, respectively. After that, calibration models have been developed and validated using the different groups of CVRS to predict skin total phenolic concentration, sugar concentration, titratable acidity, and pH by modified partial least-squares (MPLS) regression. The obtained results have been compared to those previously obtained from HIS. The models developed from the CVRS reconstructed from 12 Characteristic Vectors presen...
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simplified method for calculating colour of honey by application of the Characteristic Vector method
Food Research International, 2007Co-Authors: Lourdes M Gonzalezmiret, Fernando Ayala, Anass Terrab, Federico J Echavarri, Ignacio A Negueruela, Francisco J HerediaAbstract:Abstract A quick and simple method to obtain the colour of honeys with minimum error is proposed. Characteristic Vector analysis has been tested and proved to be applicable to the reconstruction of honey reflectance spectra. Expressions for tristimulus values are obtained as function of reflectance measurements at a few wavelengths. Different sets of reflectance were tested (from 3 to 6 wavelengths) showing better results as the number of Characteristic Vectors (wavelengths) increases. The measures were made both over white and over black backing. Results showed that, when spectrophotometric measurements are made with 10 mm pathlength cells, the determination of reflectance at four wavelengths (443, 530, 554, and 618 nm for white backing; 439, 488, 555 and 636 nm for black backing) is adequate to reconstruct the spectrum and to obtain the tristimulus chromatic Characteristics. The black backing measurements showed better results, being 74% and 57% (black and white backing measurements, respectively) the percentage of samples giving colour differences less than 1 CIELAB unit between the calculated coordinates and those obtained from the whole visible spectra.
Uday Chand De - One of the best experts on this subject based on the ideXlab platform.
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on a type of almost kenmotsu manifolds with nullity distributions
Arab Journal of Mathematical Sciences, 2017Co-Authors: Uday Chand De, Krishanu MandalAbstract:Abstract The object of the present paper is to characterize Weyl semisymmetric almost Kenmotsu manifolds with its Characteristic Vector field ξ belonging to the ( k , μ ) ′ -nullity distribution and ( k , μ ) -nullity distribution respectively. Also we characterize almost Kenmotsu manifolds satisfying the curvature condition C ⋅ S = 0 , where C and S are the Weyl conformal curvature tensor and Ricci tensor respectively with its Characteristic Vector field ξ belonging to the ( k , μ ) ′ -nullity distribution. As a consequence of the main results we obtain several corollaries. Finally, we present an example to verify our results.