• Title/Summary/Keyword: data perturbation

Search Result 221, Processing Time 0.024 seconds

Open Loop Responses of Posture Complexity in Biomechanics

  • Shin, Youngkyun;Park, Gu-Bum
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.27 no.8
    • /
    • pp.42-50
    • /
    • 2013
  • The reactionary responses to control human standing dynamics were estimated under the assumption that postural complexity mainly occurs in the mid-sagittal plane. During the experiment, the subject was exposed to continuous horizontal perturbation. The ankle and hip joint rotations of the subject mainly contributed to maintaining standing postural control. The designed mobile platform generated anterior/posterior (AP) motion. Non-predictive random translation was used as input for the system. The mean acceleration generated by the platform was measured as $0.44m/s^2$. The measured data were analyzed in the frequency domain by the coherence function and the frequency response function to estimate its dynamic responses. The significant correlation found between the input and output of the postural control system. The frequency response function revealed prominent resonant peaks within its frequency spectrum and magnitude. Subjects behaved as a non-rigid two link inverted pendulum. The analyzed data are consistent with the outcome hypothesized for this study.

Diagnostics for Estimated Smoothing Parameter by Generalized Maximum Likelihood Function (일반화최대우도함수에 의해 추정된 평활모수에 대한 진단)

  • Jung, Won-Tae;Lee, In-Suk;Jeong, Hae-Jeong
    • Journal of the Korean Data and Information Science Society
    • /
    • v.7 no.2
    • /
    • pp.257-262
    • /
    • 1996
  • When we are estimate the smoothing parameter in spline regression model, we deal the diagnostic of influence observations as posteriori analysis. When we use Generalized Maximum Likelihood Function as the estimation method of smoothing parameter, we propose the diagnostic measure for influencial observations in the obtained estimate, and we introduce the finding method of the proper smoothing parameter estimate.

  • PDF

Methodology for Describing Different Phase States of Molecular Nitrogen

  • Cho, Haeng Muk;Kudryavtsev, I.N.;Kramskoy, A.V.
    • Journal of Energy Engineering
    • /
    • v.23 no.4
    • /
    • pp.215-222
    • /
    • 2014
  • A theory-based methodology for describing the thermodynamic properties of molecular nitrogen is presented. The results obtained indicate a successful application of a fully consistent statistical method for the description of a molecular system in different phase states. The method employs a density of states equation for solid nitrogen and a perturbation potential for gaseous and liquid nitrogen. The main characteristics of the calculation method include the need for a minimal number of initial data and the absence of fitting parameters. The adequacy of the physical model that is the basis for the method allows a description of existing experimental data and the peculiarities of the thermodynamic properties.

A Two-Stage Method for Near-Optimal Clustering (최적에 가까운 군집화를 위한 이단계 방법)

  • 윤복식
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.29 no.1
    • /
    • pp.43-56
    • /
    • 2004
  • The purpose of clustering is to partition a set of objects into several clusters based on some appropriate similarity measure. In most cases, clustering is considered without any prior information on the number of clusters or the structure of the given data, which makes clustering is one example of very complicated combinatorial optimization problems. In this paper we propose a general-purpose clustering method that can determine the proper number of clusters as well as efficiently carry out clustering analysis for various types of data. The method is composed of two stages. In the first stage, two different hierarchical clustering methods are used to get a reasonably good clustering result, which is improved In the second stage by ASA(accelerated simulated annealing) algorithm equipped with specially designed perturbation schemes. Extensive experimental results are given to demonstrate the apparent usefulness of our ASA clustering method.

Multiprocess Discount Survival Models With Survival Times

  • Shim, Joo-Yong
    • Journal of the Korean Statistical Society
    • /
    • v.26 no.2
    • /
    • pp.277-288
    • /
    • 1997
  • For the analysis of survival data including covariates whose effects vary in time, the multiprocess discount survival model is proposed. The parameter vector modeling the time-varying effects of covariates is to vary between time intervals and its evolution between time intervals depends on the perturbation of the next time interval. The recursive estimation of the parameter vector can be obtained at the end of each time interval. The retrospective estimation of the survival function and the forecasting of the survival function of individuals of the specific covariates also can be obtained based on the information gathered until the end of the time interval.

  • PDF

Luminous Red Galaxy Clustering Topology of the final SDSS data

  • Choe, Yun-Yeong;Park, Chang-Beom;Kim, Ju-Han;Kim, Seong-Su
    • The Bulletin of The Korean Astronomical Society
    • /
    • v.36 no.2
    • /
    • pp.51.2-51.2
    • /
    • 2011
  • We have studied the topology of volume-limited galaxy sample selected from the very luminous red galaxies (LRGs) in the completed Sloan Digital Sky Survey. LRGs are predominantly massive elliptical galaxies and tend to reside in massive dark matter halos. We compared the observed genus statistics with predictions from perturbation theory and mock LRG surveys constructed from dark matter halos in a Lambda CDM model. To compare with the observational data, we made 129 mock surveys in the past light cone space by using three different size CDM simulations: 41203 particle 6592 Mpc/h, 60003 particle 7200 Mpc/h, and $7210^3$ particle 10815 Mpc/h.

  • PDF

Study on the Theoretical Analysis of Lateral Guiding in Stripe geometry DH Laser Diode (스트라입구조형 DH Laser Diode의 Lateral Guiding 해석에 관한 연구)

  • Kim, Eun-Su;Park, Yeong-Gyu;Yang, In-Eung
    • Journal of the Korean Institute of Telematics and Electronics
    • /
    • v.17 no.5
    • /
    • pp.1-7
    • /
    • 1980
  • In this paper, the theoretical analysis of lateral guiding in stripe geometry DH laser diode is performed. In the analysis, the carrier density profile is modeled as the function of stripe width and the beam width variations related to the stripe width are calculated using the perturbed mode theory. Finally the results of this paper are compared and analyzed with the Hakki's calculated data & kirkby's experimental data.

  • PDF

First-principles Predictions of Structures and Piezoelectric Properties of PbTiO3 Single Crystal

  • Kim, Min Chan;Lee, Sang Goo;Joh, Cheeyoung;Seo, Hee Seon
    • Transactions on Electrical and Electronic Materials
    • /
    • v.17 no.1
    • /
    • pp.29-32
    • /
    • 2016
  • Using the various exchange-correlation functionals, such as LDA, GGA-PBE, GGA-PBEsol and GGA-AM05 functionals, first principle studies were conducted to determine the structures of paraelectric and ferroelectric PbTiO3. Based on the structures determined by the various functionals, the piezoelectric properties of PbTiO3 are predicted under the density-functional perturbation theory (DFPT). The present prediction with the various GGA functionals are closer to the experimental findings compared to the LDA values. The present DFT calculations using the GGA-PBEsol functional estimate the experimental data more reasonably than the conventional LDA and GGA fucntionals. The GGA-AM05 functional also predicts the experimental data as well as the GGA-PBEsol. The piezoelectric tensor calculated with PBEsol is relatively insensitive to pressure.

Solvent Effect on Relative Gibbs Free Energy and Structural Property of $Eu^{3+}\;to\;Yb^{3+}$ Ion Mutation: A Monte Carlo Simulation Study

  • Kim, Hak Seong
    • Bulletin of the Korean Chemical Society
    • /
    • v.22 no.8
    • /
    • pp.877-882
    • /
    • 2001
  • The solvent effects on the relative free energies of Eu3+ to Yb3+ ion mutation in solution have been investigated using a Monte Carlo simulation of statistical perturbation theory (SPT). Our results agree well with available data that were obtained by others. Particularly, the results of water (SPC/E) solvent are almost identical with experimental data. For the present Eu3+ and Yb3+ ions, the relative free energies of solvation vs. Born’s function of bulk solvents decrease with increasing Born’s function of bulk solvents. There is also good agreement between the calculated structural properties in this study and the published works obtained by computer simulation and experimental work.

Implementation of the F-B function comparison on the body movement

  • Kim, Jeong-Lae;Hwang, Kyu-Sung;Nam, Yong-Seok
    • International journal of advanced smart convergence
    • /
    • v.3 no.1
    • /
    • pp.20-24
    • /
    • 2014
  • To compare body signal, was designed the F-B function system on the body movement for the comfortable state. To detect subject of the normal state, was decided on the base of physical signal in the body movement. There are to detect the condition of Vision, Vestibular, Somatosensory and CNS. Vision condition was verified a variation of greater average (Vi-${\Phi}_{AVG-AVG}$) was presented slightly greater at $17.424{\pm}9.65$ unit. Vestibular condition was identified a variation of slightly greater average (Ve-${\Phi}_{AVG-AVG}$) was presented at $9.068{\pm}1.478$ unit. Somatosensory condition was checked a variation of smaller average (So-${\Phi}_{AVG-AVG}$) was presented slightly smaller at $2.79{\pm}0.419$ unit. CNS condition was confirmed a variation of diminutive smaller average (C-${\Phi}_{AVG-AVG}$) was presented slightly larger at $0.557{\pm}0.153$ unit. As the model depends on the F-B function system of body movement, average values of these perturbation were computed F-B function comparison data. These systems will be to infer a data algorithm and a data signal processing system for the evaluation of the stability.