oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2020 ( 1 )

2019 ( 103 )

2018 ( 541 )

2017 ( 548 )

Custom range...

Search Results: 1 - 10 of 14087 matches for " sem algorithm "
All listed articles are free for downloading (OA Articles)
Page 1 /14087
Display every page Item
Analysis and Evaluation for Core Competence of Insurance Company Based on SEM  [PDF]
Hengqing Tong, Yang Ye, Yichao Pan, Shudan Lu, Jie Zhang
iBusiness (IB) , 2010, DOI: 10.4236/ib.2010.22021
Abstract: Evaluation the core competence reasonably plays an important role in the insurance company, it is related to whether the insurance can maintain a stable long-term competitive advantage or not, and whether obtain a stable long-term excess profits or not. In this paper, we select 6 first-degree indexes (including the core competence) and 28 second-degree indexes to evaluate the core competence of insurance company by Structural Equation Model (SEM), and analysis the relationships among the first-degree indexes. Besides, we use a new algorithm proposed by us to improve the calculation of SEM.
Analysis of Psychological Health and Life Qualities of Internet Addicts Using Structural Equation Model  [PDF]
Qiaoling Tong, Xuecheng Zou, Hengqing Tong
Psychology (PSYCH) , 2010, DOI: 10.4236/psych.2010.11004
Abstract: Internet addiction disorder has become a serious social problem, and aroused great concern from the public and spe-cialists. In this paper, the psychological states of internet addicts are measured by some famous mental scales, and their life qualities are investigated by some questionnaires. Structural Equations Model (SEM) is used to analyze the relationship between the psychological health and life qualities of internet addicts. Meanwhile, a definite linear algorithm of SEM is proposed which is useful for psychological analysis.
Adaptive basis selection for functional data analysis via stochastic penalization
Anselmo, Cezar A.F.;Dias, Ronaldo;Garcia, Nancy L.;
Computational & Applied Mathematics , 2005, DOI: 10.1590/S0101-82052005000200004
Abstract: we propose an adaptive method of analyzing a collection of curves which can be, individually, modeled as a linear combination of spline basis functions. through the introduction of latent bernoulli variables, the number of basis functions, the variance of the error measurements and the coefficients of the expansion are determined. we provide a modification of the stochastic em algorithm for which numerical results show that the estimates are very close to the true curve in the sense of l2 norm.
Characterization of Dynamic Bayesian Network-The Dynamic Bayesian Network as temporal network
Nabil Ghanmi,Mohamed Ali Mahjoub,Najoua Essoukri Ben Amara
International Journal of Advanced Computer Sciences and Applications , 2011,
Abstract: In this report, we will be interested at Dynamic Bayesian Network (DBNs) as a model that tries to incorporate temporal dimension with uncertainty. We start with basics of DBN where we especially focus in Inference and Learning concepts and algorithms. Then we will present different levels and methods of creating DBNs as well as approaches of incorporating temporal dimension in static Bayesian network.
Adaptive basis selection for functional data analysis via stochastic penalization
Cezar A.F. Anselmo,Ronaldo Dias,Nancy L. Garcia
Computational and Applied Mathematics , 2005,
Abstract: We propose an adaptive method of analyzing a collection of curves which can be, individually, modeled as a linear combination of spline basis functions. Through the introduction of latent Bernoulli variables, the number of basis functions, the variance of the error measurements and the coefficients of the expansion are determined. We provide a modification of the stochastic EM algorithm for which numerical results show that the estimates are very close to the true curve in the sense of L2 norm.
Influence of Sintering Temperature on Densification, Structure and Microstructure of Li and Sb Co-Modified (K,Na)NbO3-Based Ceramics  [PDF]
Rashmi Rani, Seema Sharma
Materials Sciences and Applications (MSA) , 2011, DOI: 10.4236/msa.2011.210191
Abstract: Polycrystalline samples of Lead free (K0.5Na0.5)1-x(Li)x(Sb)x(Nb)1-xO3 ceramics with nominal compositions (x = 0.040 to 0.060) have been prepared by high temperature solid state reaction technique. X-ray diffraction (XRD) pattern shows that the crystal structure transforms from orthorhombic to tetragonal as Li and Sb content increases. Normal sintering process yield compounds with density ~98.2% of the theoretical value. Densification of the Li and Sb co-doped KNN ceramics might be explained by the liquid-phase sintering. This may be attributed to the low melting temperature of Li compounds that appears to promote the formation of a liquid phase during sintering.
A Study of Scanning Electron Microscope of Vancomycin Resistant Enterococcus faecalis from Clinical Isolates  [PDF]
Ajay Kumar Oli, Raju Sungar, Nagaveni Shivshetty, Rajeshwari Hosamani, Kelmani Chandrakanth Revansiddappa
Advances in Microbiology (AiM) , 2012, DOI: 10.4236/aim.2012.22012
Abstract: Vancomycin-resistant Enterococcus faecalis pose an emerging health risk, but little is known about the precise epidemiology for vancomycin resistance. The glycopeptide resistant was studied using different techniques such as broth macrodilution, agar dilution combined with agar diffusion, morphology cell changes by scanning electron microscopy. Eight VREF isolated from different clinical samples were used. Results showed low level and high level resistant to vancomycin antibiotic at concentration of 64 to 128 μg/ml, but antibacterial activity was reduced to 256 μg/ml, the SEM revaled increased in the cell size with the antibiotic compared to control and standard culture. The technique constitutes simple method for the detection of organism.
Wear Characteristics in Al-SiC Particulate Composites and the  [PDF]
Z. Hasan, R. K. Pandey, D.K. Sehgal
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2011, DOI: 10.4236/jmmce.2011.1014104
Abstract: The Al-Si alloy with near eutectic composition has been conventionally used as a piston material for automobile applications. It is required to possess high abrasive wear resistance for enhanced life of the engine. The alloy is known to have fairly good wear resistance due to increased percentage of silicon present in fine form. In the present investigation, Al-SiC particulate composites have been studied for their wear resistance against emery paper (400 grit SiC particles) counterface and a comparison has been made with existing piston alloy i.e. Al-Si alloy. The Al-SiC composites have been prepared using Liquid Metallurgy technique employing 2124 Al alloy as the base material with 10 and 20 % SiC particulates by weight. The abrasive wear study has been conducted on a Pin on Disc machine. The wear rate in terms of weight loss per unit sliding distance as well as the volumetric wear rate have been obtained for the Al-SiC composites. The characteristics of worn surface were investigated using SEM. The composites are found to possess very high wear resistance as compared to Al-Si piston alloy. The results have been discussed and important conclusions are outlined.
High Temperature Cyclic Oxidation Behavior of Ni and Co Based Superalloys  [PDF]
Deepa Mudgal, Surendra Singh, Satya Prakash
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2012, DOI: 10.4236/jmmce.2012.113017
Abstract: High temperature oxidation causes degradation of materials in aircraft, marine, industrial and land base gas turbines. To obviate this problem, oxidation behavior of Ni and Co based superalloys viz superni 600 and superco 605 (Midhani grade) has been studied in air at 900oC. Both superalloys go through cyclic oxidation which consists of 1 hr heating in silicon carbide tube furnace followed by 20 min cooling in ambient air. Weight change was taken by a digital electronic weighing balance having accuracy of 1 mg after each cycle. Exposed alloys were characterized by XRD, FESEM and EDS. Result shows that the Co base superalloy superco 605 shows less weight gain as compare to superni 600. The oxide layer mainly contains oxides of Cr2O3, NiO and spinel NiCr2O4.
Biosorption of Zn2+ and Ni2+, Cu2+ by Four Kinds of Active Microalgae  [PDF]
Fang Chen, Budan Chen, Guojuan Gan, Lin Zhang, Yan Liang, Sikai Wu
Journal of Materials Science and Chemical Engineering (MSCE) , 2016, DOI: 10.4236/msce.2016.411002
Abstract: To investigate the affinity of the terrestrial microalgae to metal ions (Zn2+, Cu2+ and Ni2+) in aqueous solutions, four kinds of living algae (Oscillatoria, Botryococcus, Scenedesmus and Spirulina platensis Geitl, abbreviated as CZ, PTZ, SZ and LXZ) were chosen to biosorption experiment, and the mechanism of algae biosorption to metal ions were explored by fourier transform infrared spectroscopy (FTIR) and scanning electron microscopy (SEM). Results show that four kinds of algae have a good affinity for Cu, Zn, the removal rate could reach more than 95%; while for Ni, compared with CZ, SZ and PTZ, the adsorption rate of LXZ is weak. The results of FTIR and SEM experiments revealed that the function groups such as carboxyl, hydroxyl, amino, sulfonic groups and so on are the main groups which played important role in the procedure of absorbing metal ions from water aqueous. Specific algae have different affinity to different metals which will be great helpful in the field of biosorption.
Page 1 /14087
Display every page Item


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