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Ha Sie Tiong - One of the best experts on this subject based on the ideXlab platform.
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correlation of hydrogen bond through maximum Eigen Value analysis
Journal of Molecular Liquids, 2015Co-Authors: Sreehari S Sastry, S M Ibrahim, M Sailaja, T Vishwam, Ha Sie TiongAbstract:Abstract Investigation of hydrogen bond formation and its bond strength at different molar concentration ratios of co-solvent binary mixtures is aimed in the paper. Maximum Eigen Value technique is applied to explain the strength of hydrogen bond for various molar ratios. This method is based on the computation of statistical covariance's and Eigen Values made from FTIR spectral data. The formation of Hydrogen bond between the Ethanol (EtOH) and Propylene glycol (PG) at different molar ratios are analyzed in terms of intermolecular interactions present between the liquid systems through proton transfer. Molecular interactions involving various functional groups are studied using FTIR spectra and further the FTIR data are subjected to maximum Eigen analysis. The formation of hydrogen bond between Ethanol and PG is also confirmed from the DFT (B3LYP) calculations. Further discussion of hydrogen bond strength from Eigen analysis is correlated with the boiling point Values which are obtained by experimental method at different molar concentration ratios of PG in ethanol. The hydrogen bond strength is stronger at (0.2 EtOH + 0.8 PG) molar ratio when compared to the other concentrations and it is supported with the Boiling point experiment method.
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Eigen Value analysis studies on hydrogen bonded mesogens
Liquid Crystals, 2014Co-Authors: Sreehari S Sastry, Lakshmi K Sarada, K Mallika, Nageswara C Rao, S Lakhminarayana, Ha Sie TiongAbstract:A new method is proposed for the physical investigation of hydrogen-bonded liquid crystals based on Eigen Value analysis and statistical covariance. Mesogenic p,n-alkyl benzoic acid (nBA) where n = 5–10 and non-mesogenic heptyl p-hydroxybenzoate (7HB) are used to obtain the hydrogen bonded liquid crystals. Intermolecular interactions result in the hydrogen bond between the proton donor (COOH) of nBA and proton acceptor (OH) of 7HB. Molecular interactions involving the various functional groups are studied by exploring the Fourier transform infrared spectral data to the maximum Eigen Value analysis. Furthermore, maximum Eigen Value of the liquid crystal textures recorded as a function of temperature is used to identify the mesomorphic characteristics of the samples. Results obtained from this method are in good agreement with literature.
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maximum Eigen Value analysis study todetect phase transitions of ferroelectricliquid crystals
International Journal of Innovative Research in Science Engineering and Technology, 2014Co-Authors: Sreehari S Sastry, Lakshmi K Sarada, K Mallika, Tanuj L Kumar, Ha Sie TiongAbstract:Phase transition temperatures of ferroelectric liquid crystals: ((S)-(-)-2-methylbutyl 4’-(4”–nalkanoyloxybenzoyloxy) biphenyl-4-carboxylates (where n = 16 and 18) are identified using of maximum Eigen Value analysis. The textures of the samples are recorded with the Optical Polarizing Microscope (POM) which has the attachments of hot stage and high resolution camera connected directly to computer system. Eigen Values of the recorded textures are computed using MATLAB software. The phase transition temperatures of samples are inferred by the abrupt changes in the computed maximum Eigen Values. The results of study are in good agreement with those published in earlier literature being made with technique Differential Scanning Calorimetry. The smooth transitions smectic A to Smectic C* which are not resolved in the DSC studies are identified using maximum Eigen Value analysis.
Sreehari S Sastry - One of the best experts on this subject based on the ideXlab platform.
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correlation of hydrogen bond through maximum Eigen Value analysis
Journal of Molecular Liquids, 2015Co-Authors: Sreehari S Sastry, S M Ibrahim, M Sailaja, T Vishwam, Ha Sie TiongAbstract:Abstract Investigation of hydrogen bond formation and its bond strength at different molar concentration ratios of co-solvent binary mixtures is aimed in the paper. Maximum Eigen Value technique is applied to explain the strength of hydrogen bond for various molar ratios. This method is based on the computation of statistical covariance's and Eigen Values made from FTIR spectral data. The formation of Hydrogen bond between the Ethanol (EtOH) and Propylene glycol (PG) at different molar ratios are analyzed in terms of intermolecular interactions present between the liquid systems through proton transfer. Molecular interactions involving various functional groups are studied using FTIR spectra and further the FTIR data are subjected to maximum Eigen analysis. The formation of hydrogen bond between Ethanol and PG is also confirmed from the DFT (B3LYP) calculations. Further discussion of hydrogen bond strength from Eigen analysis is correlated with the boiling point Values which are obtained by experimental method at different molar concentration ratios of PG in ethanol. The hydrogen bond strength is stronger at (0.2 EtOH + 0.8 PG) molar ratio when compared to the other concentrations and it is supported with the Boiling point experiment method.
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Eigen Value analysis studies on hydrogen bonded mesogens
Liquid Crystals, 2014Co-Authors: Sreehari S Sastry, Lakshmi K Sarada, K Mallika, Nageswara C Rao, S Lakhminarayana, Ha Sie TiongAbstract:A new method is proposed for the physical investigation of hydrogen-bonded liquid crystals based on Eigen Value analysis and statistical covariance. Mesogenic p,n-alkyl benzoic acid (nBA) where n = 5–10 and non-mesogenic heptyl p-hydroxybenzoate (7HB) are used to obtain the hydrogen bonded liquid crystals. Intermolecular interactions result in the hydrogen bond between the proton donor (COOH) of nBA and proton acceptor (OH) of 7HB. Molecular interactions involving the various functional groups are studied by exploring the Fourier transform infrared spectral data to the maximum Eigen Value analysis. Furthermore, maximum Eigen Value of the liquid crystal textures recorded as a function of temperature is used to identify the mesomorphic characteristics of the samples. Results obtained from this method are in good agreement with literature.
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maximum Eigen Value analysis study todetect phase transitions of ferroelectricliquid crystals
International Journal of Innovative Research in Science Engineering and Technology, 2014Co-Authors: Sreehari S Sastry, Lakshmi K Sarada, K Mallika, Tanuj L Kumar, Ha Sie TiongAbstract:Phase transition temperatures of ferroelectric liquid crystals: ((S)-(-)-2-methylbutyl 4’-(4”–nalkanoyloxybenzoyloxy) biphenyl-4-carboxylates (where n = 16 and 18) are identified using of maximum Eigen Value analysis. The textures of the samples are recorded with the Optical Polarizing Microscope (POM) which has the attachments of hot stage and high resolution camera connected directly to computer system. Eigen Values of the recorded textures are computed using MATLAB software. The phase transition temperatures of samples are inferred by the abrupt changes in the computed maximum Eigen Values. The results of study are in good agreement with those published in earlier literature being made with technique Differential Scanning Calorimetry. The smooth transitions smectic A to Smectic C* which are not resolved in the DSC studies are identified using maximum Eigen Value analysis.
Kumar Avinash - One of the best experts on this subject based on the ideXlab platform.
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Free Transverse Vibration Analysis of thin rectangular plates having arbitrarily varying non-homogeneity along two concurrent edge
2018Co-Authors: Kumar AvinashAbstract:In this paper, I presented the analysis and numerical results for free transverse vibration of thin rectangular plates having arbitrarily varying non-homogeneity with the in-plane coordinates along the two concurrent edges. For finding the general governing differential equation first used the Kirchhoff's plate theory by considering their assumptions. After finding the governing equation for the plate. For the non- homogeneity a linear variation for Young's modulus and density of the plate has been assumed. Finite difference method (FDM) has been used to obtain the Eigen Value problem for such model plate for two different boundary condition at the edge namely (i) CCCC fully clamped (ii) CSCS two opposites are clamped and other two are simply supported. By solving these Eigen Value problem using MATLAB, the lowest three Eigen Value have been reported as the first three natural frequencies for the three mode of vibration. The effect of various plate parameters such on the vibration characteristics has been analysed. Three dimensional mode shape has been plotted.Comment: My Master's Thesi
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Free Transverse Vibration Analysis of Thin Rectangular Plates Having Arbitrarily Varying Non-Homogeneity Along Two Concurrent Edge
2018Co-Authors: Kumar AvinashAbstract:In this paper, I presented the analysis and numerical results for free transverse vibration of thin rectangular plates having arbitrarily varying non-homogeneity with the in-plane coordinates along the two concurrent edges. For finding the general governing differential equation first used the Kirchhoff’s plate theory by considering their assumptions. After finding the governing equation for the plate. For the non- homogeneity a linear variation for Young’s modulus and density of the plate has been assumed. Finite difference method (FDM) has been used to obtain the Eigen Value problem for such model plate for two different boundary condition at the edge namely (i) CCCC fully clamped (ii) CSCS two opposites are clamped and other two are simply supported. By solving these Eigen Value problem using MATLAB, the lowest three Eigen Value have been reported as the first three natural frequencies for the three mode of vibration. The effect of various plate parameters such on the vibration characteristics has been analysed. Three dimensional mode shape has been plotted
Karen Das - One of the best experts on this subject based on the ideXlab platform.
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indian sign language recognition using Eigen Value weighted euclidean distance based classification technique
arXiv: Computer Vision and Pattern Recognition, 2013Co-Authors: Joyeeta Singha, Karen DasAbstract:Sign Language Recognition is one of the most growing fields of research today. Many new techniques have been developed recently in these fields. Here in this paper, we have proposed a system using Eigen Value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India. The system comprises of four parts: Skin Filtering, Hand Cropping, Feature Extraction and Classification. Twenty four signs were considered in this paper, each having ten samples, thus a total of two hundred forty images was considered for which recognition rate obtained was 97 percent.
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indian sign language recognition using Eigen Value weighted euclidean distance based classification technique
International Journal of Advanced Computer Science and Applications, 2013Co-Authors: Joyeeta Singha, Karen DasAbstract:Sign Language Recognition is one of the most growing fields of research today. Many new techniques have been developed recently in these fields. Here in this paper, we have proposed a system using Eigen Value weighted Euclidean distance as a classification technique for recognition of various Sign Languages of India. The system comprises of four parts: Skin Filtering, Hand Cropping, Feature Extraction and Classification. 24 signs were considered in this paper, each having 10 samples, thus a total of 240 images was considered for which recognition rate obtained was 97%.
Santi P Maity - One of the best experts on this subject based on the ideXlab platform.
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Eigen Value and it s comparison with gaussian rbf multi quadratic rbf and inverse multi quadratic rbf methods
Information Sciences Letters, 2014Co-Authors: Abhisek Paul, Paritosh Bhattacharya, Santi P MaityAbstract:For any system Eigen Value is the characteristic Value and It is the characte ristic roots for an equation which modeled that system. In this paper we have introduce Radial Basis Function (RBF) to evaluate Eigen Value approximation for any given system. We have made some approximation to get best possible output with the help of pseudo inverse technique in Radial Basis Functions. We have experimented and compared the Eigen Values of matrices with respect to Gaussian RBF, Multi-Quadratic RBF and Inverse Multi-Quadratic RBF methods. In this paper we worked on several matrices and calculated their Eigen Value by using different RBF methods.
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Eigen Value and it s comparison with different rbf methods by using matlab
2014Co-Authors: Abhisek Paul, Paritosh Bhattacharya, Santi P MaityAbstract:Neural network is being used in various research areas in recent time. In this paper we have introduced Radial Basis Function (RBF) of neural network for the analysis of Eigen Value. Eigen Value is the characteristic Value of any given system. We have incorporated various radial basis functions such as Gaussian RBF, Multi-Quadratic RBF and Inverse-Multi-Quadratic RBF in matrix for the calculation of Eigen Value. Comparative analysis and simulation results show that Gaussian RBF gives better result compared to the other relevant radial basis functions.