oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 76 )

2019 ( 371 )

2018 ( 2003 )

2017 ( 1894 )

Custom range...

Search Results: 1 - 10 of 130970 matches for " Chun Wang "
All listed articles are free for downloading (OA Articles)
Page 1 /130970
Display every page Item
Data Perturbation Analysis of the Support Vector Classifier Dual Model  [PDF]
Chun Cai, Xikui Wang
Journal of Software Engineering and Applications (JSEA) , 2018, DOI: 10.4236/jsea.2018.1110027
Abstract: The paper establishes a theorem of data perturbation analysis for the support vector classifier dual problem, from which the data perturbation analysis of the corresponding primary problem may be performed through standard results. This theorem derives the partial derivatives of the optimal solution and its corresponding optimal decision function with respect to data parameters, and provides the basis of quantitative analysis of the influence of data errors on the optimal solution and its corresponding optimal decision function. The theorem provides the foundation for analyzing the stability and sensitivity of the support vector classifier.
Feature Extraction Techniques of Non-Stationary Signals for Fault Diagnosis in Machinery Systems  [PDF]
Chun-Chieh Wang, Yuan Kang
Journal of Signal and Information Processing (JSIP) , 2012, DOI: 10.4236/jsip.2012.31002
Abstract: Previously, fault diagnosis of fixed or steady state mechanical failures (e.g., pumps in nuclear power plant turbines, engines or other key equipment) applied spectrum analysis (e.g., fast Fourier transform, FFT) to extract the frequency features as the basis for identifying the causes of failure types. However, mechanical equipment for increasingly instant speed variations (e.g., wind turbine transmissions or the mechanical arms used in 3C assemblies, etc.) mostly generate non-stationary signals, and the signal features must be averaged with analysis time which makes it difficult to identify the causes of failures. This study proposes a time frequency order spectrum method combining the short-time Fourier transform (STFT) and speed frequency order method to capture the order features of non-stationary signals. Such signal features do not change with speed, and are thus effective in identifying faults in mechanical components under non-stationary conditions. In this study, back propagation neural networks (BPNN) and time frequency order spectrum methods were used to verify faults diagnosis and obtained superior diagnosis results in non-stationary signals of gear-rotor systems.
Customer Segmentation of Credit Card Default by Self Organizing Map  [PDF]
Hui Wu, Chang-Chun Wang
American Journal of Computational Mathematics (AJCM) , 2018, DOI: 10.4236/ajcm.2018.83015
Abstract: In this paper we applied the technique of Self Organizing Map (SOM) to segment individuals based on their credit information. SOM is an unsupervised machine learning method that reduces data complexity and dimensionality while keeping sits original topology, which is superior to other dimension reduction methods especially when features in data have unclear nonlinear relations. Through this method we provide more clear and intuitive segmentation that other traditional methods cannot achieve.
Highly-Controllable Imprinted Polymer Nanoshell on the Surface of Silica Nanoparticles for Selective Adsorption of 17β-Estradiol  [PDF]
Xue Fu, Bo Song, Xiaozhen Chen, An Wang, Chun Wang
Journal of Encapsulation and Adsorption Sciences (JEAS) , 2018, DOI: 10.4236/jeas.2018.84011
Abstract: A highly-controllable core-shell silica-MIPs absorbent by anchoring a MIPs layer to the surface of SiO2 nanoparticles via a surface molecular imprinting process was prepared. The templates were covalently modified with functional monomers to form precursor EstSi. The latter together with coupling reagent KH-570, were grafted onto the surface of SiO2 nanoparticles before polymerization, to ensure the quantity and quality of imprinted sites on the surface of the covalently attached matrix. The as-synthesized core-shell nanomaterials (SiO2@MIP2) were then evaluated for selective adsorption of 17β-estradiol (E2) with Raman spectra as detection method. The results indicate that SiO2@MIP2 can fast and selectively adsorb E2 from structural analogues, with detection limit of 0.01 μmol/l.
4-Hydroxyanilinium 2-chloroacetate
Ying-Chun Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812021411
Abstract: In the crystal of the title salt, C6H8NO+·C2H2ClO2 , the 4-hydroxyanilinium cation links to adjacent chloroacetate anions via N—H...O and O—H...O hydrogen bonds; weak C—H...O interactions also occur between the anions and cations.
4-Hydroxyanilinium 2-carboxyacetate
Ying-Chun Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s160053681202363x
Abstract: In the title compound, C6H8NO+·C3H3O4 , the amino N atom is protonated, and one of the carboxyl groups is deprotonated to maintain the charge balance. In the crystal, classical N—H...O and O—H...O hydrogen bonds connect the ions into a two-dimensional network parallel to the ac plane. In addition, the structure is further stabilized by C—H...O and π–π interactions [centroid–centroid distance = 4.115 (2) ].
4-Cyanopyridinium hydrogen sulfate
Ying-Chun Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812027304
Abstract: All non-H atoms of the cation of the title salt, C6H5N2+·HSO4 , are essentially coplanar [r.m.s. deviation = 0.005 (1) ] . In the crystal, N—H...O and O—H...O hydrogen bonds and weak C—H...O and C—H...N interactions link the molecules into a two-dimensional network parallel to the (001) plane. Weak π–π stacking interactions between the pyridine rings of neighbouring molecules further stabilize the structure [centroid–centroid distance = 3.785 (1) ].
4-Cyanopyridinium dihydrogen phosphate–isonicotinonitrile–phosphoric acid (1/1/1)
Ying-Chun Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812020430
Abstract: The asymmetric unit of the title compound, C6H5N2+·H2PO4 ·C6H4N2·H3PO4, contains one 4-cyanopyridinium cation, one H2PO4 anion, one independent isonicotinonitrile molecule and one independent H3PO4 molecule. The dihedral angle between the mean planes of the separate protonated and unprotonated pyridine rings is 9.93 (8)°. In the crystal, N—H...O and O—H...N hydrogen bonds and weak C—H...O and C—H...N intermolecular interactions connect the organic molecules into a two-dimensional network parallel to the ac plane. O—H...O hydrogen-bonding interactions involving the H2PO4 anions and H3PO4 molecules provide additional support from the inorganic groups Weak π–π stacking interactions between the pyridine rings of neighbouring organic molecules [centroid–centroid distances = 3.711 (4) and 3.784 (2) ] further link the layers into a three-dimensional network.
4-[(Adamantan-1-yl)carbamoyl]pyridinium chloride
Ying-Chun Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812022866
Abstract: In the title salt, C16H21N2O+·Cl , the amide group makes a dihedral angle of 24.98 (2)° with respect to the pyridinium ring. In the crystal, both the amide and pyridinium N atoms are involved in N—H...Cl hydrogen bonding. Weak intermolecular C—H...Cl and C—H...O interactions also occur.
4-Methylanilinium 2-carboxyacetate
Ying-Chun Wang
Acta Crystallographica Section E , 2012, DOI: 10.1107/s1600536812024403
Abstract: During the formation of the title salt, C7H10N+·C3H3O4 , an H atom of a carboxyl group was transferred to the amino group. All non-H atoms of the cation are essentially coplanar [r.m.s. deviation = 0.007 (4) ]. The mean planes of the carboxylate and carboxyl groups of the anion form a dihedral of 69.67 (1)°. In the crystal, N—H...O and O—H...O hydrogen bonds connect the anions and cations, forming a two-dimensional network parallel to the bc plane.
Page 1 /130970
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.