• Title/Summary/Keyword: Internal model

검색결과 4,591건 처리시간 0.621초

임부의 내적 작동모델에 따른 산전애착과 친모와의 관계 및 배우자와의 관계 (The Relationship Among Mother-Daughter Relationship, Husband-Wife Relationship and Prenatal Attachment according to Pregnant Women's Internal Working Model)

  • 정영숙
    • 여성건강간호학회지
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    • 제10권3호
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    • pp.210-217
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    • 2004
  • Purpose: The purpose of this study was to identify the relationship among mother-daughter relationship, husband-wife relationship, and prenatal attachment according to pregnant women's internal working model. Method: A convenience sample of 68 pregnant women was recruited from two OBGYN hospitals in M city. Data collection was conducted through the use of an Adult Attachment Interview and questionnaires. This study used a descriptive correlational design and the period of investigation was from July 3-20, 2002. 41 of the 68 women were in a secure pregnant women's internal working model and 27 of the 68 in insecure ones. The data were analyzed by Chi-square test, t-test, and Pearson Correlation Coefficient. Result: The results of this study were as follows: Mean score of the prenatal attachment of the secure pregnant women and mean score of the mother-daughter relationship of the secure pregnant women was significantly higher than that of insecure ones. 3) Prenatal attachment was negatively and significantly related to mother-daughter attachment and husbandwife attachment in the secure pregnant women's internal working model. However it was not significantly relationship in insecure pregnant women's internal working model. Conclusion: It is found in this study that there is an intergenerational attachment relationship during pregnancy. Further findings support the development of creative strategies to enhance positive attachment relationships for pregnant women. It is recommended to develop nursing education of attachment for the insecure pregnant women's internal working model.

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균형상실의 검출 성능 향상을 위한 내부 모델의 설계변수 선정 및 민감도 평가 (Optimization of Design Variables of Detection Algorithm for Loss of Balance Using a Linear Internal Model)

  • 김광훈;김인수;손권
    • 대한기계학회논문집A
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    • 제34권9호
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    • pp.1153-1160
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    • 2010
  • 일반적으로 보상운동보다는 균형상실을 검출하는 방법이 낙상을 예측하는데 효과적이다. 균형상실을 검출하는 알고리즘은 크게 데이터 처리부, 내부 모델 구성부, 검출부로 구성된다. 이 알고리즘에서 가장 중요한 부분은 내부 모델 구성부이다. 본 연구의 목적은 이 알고리즘에서 사용되는 변수들 중 내부 모델과 관계된 변수들이 검출 성공률에 끼치는 영향을 규명하는 것이다. 내부 모델과 관계된 변수는 내부 모델의 선형화에 필요한 변수와 알고리즘의 실행 주기에 대한 변수이다. 각각의 변수들이 가지는 중요도 평가하기 위하여 검출 성공률에 대한 민감도를 분석하였다. 분석 결과 가장 민감한 변수는 알고리즘의 실행 주기이며, 주기가 0.3초일 때 검출 성공률이 97.1%로 가장 좋게 나왔다. 또한 주어진 변수들에 대하여 검출 성공률이 95% 이상이 되는 설계 변수의 범위를 제시하였다.

Characterization of Internal Reorientation of Methyl Group in 2,6-Dichlorotoluene

  • Nam-Goong, Hyun;Rho, Jung-Rae
    • 한국자기공명학회논문지
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    • 제13권1호
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    • pp.35-55
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    • 2009
  • The two correlation times previously obtained in our coupled $^{13}C$ relaxation measurement for the methyl group in 2,6-dichlorotoluene may be used as a criterion for evaluating the reorientation dynamics of an internal rotor. We numerically tested an extended diffusion model and the Smoluchowski diffusion equation to see how the rotational inertial effect and jump character contribute to the internal correlation time ratio of the internal rotor. We also analytically solved the general jump model with three different rate constants in a sixfold symmetric potential barrier. By assuming that the internal rotation of the methyl group in 2,6-dichlorotoluene can be described in terms of jumps among sixfold harmonic potential wells, we can conclude that the jump model satisfactorily reproduce the experimental data and the rate for sixfold jump is at least 1.53 times as great as that of a threefold jump.

대형 성층 호수의 수온과 내부파의 3차원 수치 모델링 (Three-dimensional Numerical Modeling of Water Temperature and Internal Waves in a Large Stratified Lake)

  • 정세웅
    • 한국물환경학회지
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    • 제31권4호
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    • pp.367-376
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    • 2015
  • The momentum and kinetic turbulent energy carried by the wind to a stratified lake lead to basin-scale motions, which provide a major driving force for vertical and horizontal mixing. A three-dimensional (3D) hydrodynamic model was applied to Lake Tahoe, located between California and Nevada, USA, to simulate the dominant basin-scale internal waves in the deep lake. The results demonstrated that the model well represents the temporal and vertical variations of water temperature that allows the internal waves to be energized correctly at the basin scale. Both the model and thermistor chain (TC) data identified the presence of Kelvin modes and Poincare mode internal waves. The lake was weakly stratified during the study period, and produced large amplitude (up to 60 m) of internal oscillations after several wind events and partial upwelling near the southwestern lake. The partial upwelling and followed coastal jets could be an important feature of basin-scale internal waves because they can cause re-suspension and horizontal transport of fine particles from nearshore to offshore. The internal wave dynamics can be also associated with the distributions of water quality variables such as dissolved oxygen and nutrients in the lake. Thus, the basin-scale internal waves and horizontal circulation processes need to be accurately modeled for the correct simulation of the dissolved and particulate contaminants, and biogeochemical processes in the lake.

Model Tracking Dual Stochastic Controller Design Under Irregular Internal Noises

  • Lee Jong-Bok;Cho Yun-Hyun;Ji Tae-Young;Heo Hoon
    • Journal of Mechanical Science and Technology
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    • 제20권5호
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    • pp.652-657
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    • 2006
  • Although many methods about the control of irregular external noise have been introduced and implemented, it is still necessary to design a controller that will be more effective and efficient methods to exclude for various noises. Accumulation of errors due to model tracking, internal noises (thermal noise, shot noise and 1/f noise) that come from elements such as resistor, diode and transistor etc. in the circuit system and numerical errors due to digital process often destabilize the system and reduce the system performance. New stochastic controller is adopted to remove those noises using conventional controller simultaneously. Design method of a model tracking dual controller is proposed to improve the stability of system while removing external and internal noises. In the study, design process of the model tracking dual stochastic controller is introduced that improves system performance and guarantees robustness under irregular internal noises which can be created internally. The model tracking dual stochastic controller utilizing F-P-K stochastic control technique developed earlier is implemented to reveal its performance via simulation.

Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation

  • Soonil Kwon;Eunjung Lee;Hojin Ju;Hyo-Jeong Ahn;So-Ryoung Lee;Eue-Keun Choi;Jangwon Suh;Seil Oh;Wonjong Rhee
    • Korean Circulation Journal
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    • 제53권10호
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    • pp.677-689
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    • 2023
  • Background and Objectives: There is limited evidence regarding machine-learning prediction for the recurrence of atrial fibrillation (AF) after electrical cardioversion (ECV). This study aimed to predict the recurrence of AF after ECV using machine learning of clinical features and electrocardiograms (ECGs) in persistent AF patients. Methods: We analyzed patients who underwent successful ECV for persistent AF. Machine learning was designed to predict patients with 1-month recurrence. Individual 12-lead ECGs were collected before and after ECV. Various clinical features were collected and trained the extreme gradient boost (XGBoost)-based model. Ten-fold cross-validation was used to evaluate the performance of the model. The performance was compared to the C-statistics of the selected clinical features. Results: Among 718 patients (mean age 63.5±9.3 years, men 78.8%), AF recurred in 435 (60.6%) patients after 1 month. With the XGBoost-based model, the areas under the receiver operating characteristic curves (AUROCs) were 0.57, 0.60, and 0.63 if the model was trained by clinical features, ECGs, and both (the final model), respectively. For the final model, the sensitivity, specificity, and F1-score were 84.7%, 28.2%, and 0.73, respectively. Although the AF duration showed the best predictive performance (AUROC, 0.58) among the clinical features, it was significantly lower than that of the final machine-learning model (p<0.001). Additional training of extended monitoring data of 15-minute single-lead ECG and photoplethysmography in available patients (n=261) did not significantly improve the model's performance. Conclusions: Machine learning showed modest performance in predicting AF recurrence after ECV in persistent AF patients, warranting further validation studies.

Effect of bidirectional internal flow on fluid.structure interaction dynamics of conveying marine riser model subject to shear current

  • Chen, Zheng-Shou;Kim, Wu-Joan
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제4권1호
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    • pp.57-70
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    • 2012
  • This article presents a numerical investigation concerning the effect of two kinds of axially progressing internal flows (namely, upward and downward) on fluid.structure interaction (FSI) dynamics about a marine riser model which is subject to external shear current. The CAE technology behind the current research is a proposed FSI solution, which combines structural analysis software with CFD technology together. Efficiency validation for the CFD software was carried out first. It has been proved that the result from numerical simulations agrees well with the observation from relating model test cases in which the fluidity of internal flow is ignorable. After verifying the numerical code accuracy, simulations are conducted to study the vibration response that attributes to the internal progressive flow. It is found that the existence of internal flow does play an important role in determining the vibration mode (/dominant frequency) and the magnitude of instantaneous vibration amplitude. Since asymmetric curvature along the riser span emerges in the case of external shear current, the centrifugal and Coriolis accelerations owing to up- and downward internal progressive flows play different roles in determining the fluid.structure interaction response. The discrepancy between them becomes distinct, when the velocity ratio of internal flow against external shear current is relatively high.

Internal modals interactions analysis in terms of AFG nanorods based on Rayleigh model of nonlinear nonlocal axial behaviour

  • Somaye Jamali Shakhlavi;Shahrokh Hosseini Hashemi;Reza Nazemnezhad
    • Steel and Composite Structures
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    • 제52권5호
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    • pp.557-569
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    • 2024
  • Nonlinear internal modals interactions analysis of axially functionally graded nanorods is evaluated on the basis of nonlocal elasticity theory and Rayleigh beam model for the first time. Functionally graded materials can be determined as nonhomogeneous composites which are obtained by combining of two various materials in order to get a new ideal material. In this research, material properties of nanorods are supposed to be calmly varied along the axial direction. Hamilton's principle is used to derive the equations with consideration of Von-Kármán's geometrically nonlinearity. Harmonic Differential Quadrature (HDQ) and Multiple Scale (MS) solution techniques are used to derive an approximate-analytic solution to the linear and nonlinear free axial vibration problem of non-classical nanorods for clamped-clamped and clamped-free boundary conditions. A parametric study is carried out to indicate the effects of index of AFG, aspect ratio, mode number, internal resonances and nonlinear amplitude on nonlinear nonlocal frequencies of axially functionally graded nanorods. Also, the effects of nonlocal and nonlinear coefficients and AFG index on relationships of internal resonances have been investigated. The presented theatrical-semi analytical model has the ability to predict very suitable results for extracting the internal modal interactions in the AFG nanorod.

The inertial coefficient for fluctuating flow through a dominant opening in a building

  • Xu, Haiwei;Yu, Shice;Lou, Wenjuan
    • Wind and Structures
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    • 제18권1호
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    • pp.57-67
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    • 2014
  • For a building with a dominant windward wall opening, the wind-induced internal pressure response can be described by a second-order non-linear differential equation. However, there are two ill-defined parameters in the governing equation: the inertial coefficient $C_I$ and the loss coefficient $C_L$. Lack of knowledge of these two parameters restricts the practical use of the governing equation. This study was primarily focused on finding an accurate reference value for $C_I$, and the paper presents a systematic investigation of the factors influencing the inertial coefficient for a wind-tunnel model building including: opening configuration and location, wind speed and direction, approaching flow turbulence, the model material, and the installation method. A numerical model was used to simulate the volume deformation under internal pressure, and to predict the bulk modulus of an experimental model. In considering the structural flexibility, an alternative approach was proposed to ensure accurate internal volume distortions, so that similarity of internal pressure responses between model-scale and full-scale building was maintained. The research showed 0.8 to be a reasonable standard value for the inertial coefficient.

Internal Model Principle을 이용한 극-영점 배치 적응제어기에 관한 연구 (An Adaptive Pole-zero Placement Algorithm Using Internal Model Principle)

  • 이정준;서진헌
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1989년도 추계학술대회 논문집 학회본부
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    • pp.388-392
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    • 1989
  • In this paper, an adaptive pole-zero placement algorithm which has disturbance rejection properties is proposed. This method using the internal model principle is shown to reject the disturbances asymptotically. Furthermore, a method which reduces the number of estimated parameters is proposed. Some simulation results are given to demonstrate the performance of the algorithms.

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