• Title/Summary/Keyword: Convergence order

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Clinical convergence angle and rounding radius on tooth preparation for zirconia all-ceramic crown (지르코니아 전부도재관 지대치 삭제시 축면 경사각과 만곡 반경에 대한 조사)

  • Kim, Hye-Eun;Woo, Yi-Hyung;Pae, Ah-Ran;Kim, Hyeong-Seob
    • The Journal of Korean Academy of Prosthodontics
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    • v.49 no.1
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    • pp.22-28
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    • 2011
  • Purpose: This article attempted to examine how teeth for restoration is made in a clinical practice and utilize it as future educational material of teeth formation and basic data for additional research. Materials and methods: This experiment investigated the models sent to milling center for production of zirconia crowns. After scanned with Lava CAD/CAM System (3M ESPE, Seefeld, Germany), they are measured on 'ImageJ (version 1.32j, National Institutes of Health, USA)' program and compared and analyzed. Convergence angle from mesio-distal surfaces and bucco-lingual surfaces of each teeth are measured. Also, bucco-lingual diameter of the region lowered as much as 0.4 mm from incisal edge in anterior teeth except canines.(This measure is defined as the Peak 0.4) The analysis of data between each group was conducted by Windows SPSS statistic program, and was proved significant on 95% confidence level by independent t-test, one-way ANOVA and multiple analysis (Sheff${\'{e}}$ test). Results: The mean value of convergence angle was $18.67^{\circ}$ It is ranked as molar ($26.70^{\circ}$) > premolar ($16.87^{\circ}$) > anterior teeth ($14.81^{\circ}$) in the order of mesio-distal convergence angle; anterior teeth ($22.32^{\circ}$) > molar ($20.93^{\circ}$) > premolar ($15.41^{\circ}$) in the order of bucco-lingual convergence angle. The mean value of Peak 0.4 was 1.18 mm. Conclusion: Convergence angle of abutment of zirconia all ceramic crown has difference depending on the location in the arch. Due to the nature of production of zirconia all ceramic crown, convergence angle of abutment and line angle finishing degree can have an effect on internal suitability of restoration.

Optimizing Intrusion Detection Pattern Model for Improving Network-based IDS Detection Efficiency

  • Kim, Jai-Myong;Lee, Kyu-Ho;Kim, Jong-Seob;Kim, Kuinam J.
    • Convergence Security Journal
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    • v.1 no.1
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    • pp.37-45
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    • 2001
  • In this paper, separated and optimized pattern database model is proposed. In order to improve efficiency of Network-based IDS, pattern database is classified by proper basis. Classification basis is decided by the specific Intrusions validity on specific target. Using this model, IDS searches only valid patterns in pattern database on each captured packets. In result, IDS can reduce system resources for searching pattern database. So, IDS can analyze more packets on the network. In this paper, proper classification basis is proposed and pattern database classified by that basis is formed. And its performance is verified by experimental results.

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THE ORDER OF CONVERGENCE IN THE FINITE ELEMENT METHOD

  • KIM CHANG-GEUN
    • The Pure and Applied Mathematics
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    • v.12 no.2 s.28
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    • pp.153-159
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    • 2005
  • We investigate the error estimates of the h and p versions of the finite element method for an elliptic problems. We present theoretical results showing the p version gives results which are not worse than those obtained by the h version in the finite element method.

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ON THE ABSOLUTE CONVERGENCE OF LACUNARY VECTOR VALUED FOURIER COEFFICIENTS SERIES

  • Rashwan, R.A.
    • Kyungpook Mathematical Journal
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    • v.27 no.2
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    • pp.173-179
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    • 1987
  • In this article the absolute convergence of lacunary Fourier Coefficients Series is studied for Hilbert space valued functions. The considered functions arc assumed to be of either the modulus of continuity or the modulus of smoothness of order l which are considered only at a fixed point in [$-{\pi},{\pi}$]. On the other hand for values in weakly sequentially complete Banach space, the lacunary Fourier coefficients series is strongly unconditionally convergent. The results obtained here are a kind of a generalization of the results due to Kandil [4].

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An Accelerated Genetic Algorithm for the Vehicle Routing Problem

  • Shin, Hae-Woong;Kang, Maing-Kyu
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.1
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    • pp.101-114
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    • 1996
  • This study suggests an accelerated genetic algorithm for the vehicle routing problem (AGAVRP). This algorithm treats both the single-visit and the multiple-visit models. AGAVRP is accelerated by the OR techniques at the various stages of the algorithm. In order to improve the convergence of AGAVRP, a robust set of parameters is determined by the experimental design approach. The relative performance of AGAVRP is comparable to the other known algorithms. The advantage of the proposed algorithm is flexibility and better convergence.

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ON A FAST ITERATIVE METHOD FOR APPROXIMATE INVERSE OF MATRICES

  • Soleymani, Fazlollah
    • Communications of the Korean Mathematical Society
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    • v.28 no.2
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    • pp.407-418
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    • 2013
  • This paper studies a computational iterative method to find accurate approximations for the inverse of real or complex matrices. The analysis of convergence reveals that the method reaches seventh-order convergence. Numerical results including the comparison with different existing methods in the literature will also be considered to manifest its superiority in different types of problems.

A PETROV-GALERKIN METHOD FOR A SINGULARLY PERTURBED ORDINARY DIFFERENTIAL EQUATION WITH NON-SMOOTH DATA

  • Zheng T.;Liu F.
    • Journal of applied mathematics & informatics
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    • v.22 no.1_2
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    • pp.317-329
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    • 2006
  • In this paper, a singularly perturbed ordinary differential equation with non-smooth data is considered. The numerical method is generated by means of a Petrov-Galerkin finite element method with the piecewise-exponential test function and the piecewise-linear trial function. At the discontinuous point of the coefficient, a special technique is used. The method is shown to be first-order accurate and singular perturbation parameter uniform convergence. Finally, numerical results are presented, which are in agreement with theoretical results.

A GLOBALLY AND SUPERLIEARLY CONVERGENT FEASIBLE SQP ALGORITHM FOR DEGENERATE CONSTRAINED OPTIMIZATION

  • Chen, Yu;Xie, Xiao-Liang
    • Journal of applied mathematics & informatics
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    • v.28 no.3_4
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    • pp.823-835
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    • 2010
  • In this paper, A FSQP algorithm for degenerate inequality constraints optimization problems is proposed. At each iteration of the proposed algorithm, a feasible direction of descent is obtained by solving a quadratic programming subproblem. To overcome the Maratos effect, a higher-order correction direction is obtained by solving another quadratic programming subproblem. The algorithm is proved to be globally convergent and superlinearly convergent under some mild conditions. Finally, some preliminary numerical results are reported.

Ripple Effects of Electronic Games and Evolution of Electronic Game Platforms

  • Eun, Kwang-Ha
    • International Journal of Contents
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    • v.6 no.1
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    • pp.20-25
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    • 2010
  • This paper discusses an academic study on electronic games and their incredibly vast and rapid growth over the years. It specifically addresses the evolution of electronic games from the 1960s to today, the ripple effects of electronic games, and the development of electronic game platforms. In terms of scope, the study first describes the ripple effects of the emergence of electronic games in chronological order and from the "immersion" and "convergence" perspectives, and then explores the evolution of electronic game platforms such as arcade machines, video consoles, personal computers, and mobile game devices.

NONPARAMETRIC DISCONTINUITY POINT ESTIMATION IN GENERALIZED LINEAR MODEL

  • Huh, Jib
    • Journal of the Korean Statistical Society
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    • v.33 no.1
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    • pp.59-78
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    • 2004
  • A regression function in generalized linear model may have a discontinuity/change point at unknown location. In order to estimate the location of the discontinuity point and its jump size, the strategy is to use a nonparametric approach based on one-sided kernel weighted local-likelihood functions. Weak convergences of the proposed estimators are established. The finite-sample performances of the proposed estimators with practical aspects are illustrated by simulated examples.