• Title/Summary/Keyword: 무조건적 모형

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A Methodology for Improving fitness of the Latent Growth Modeling using Association Rule Mining (연관규칙을 이용한 잠재성장모형의 개선방법론)

  • Cho, Yeong Bin;Jun, Jae-Hoon;Choi, Byungwoo
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.217-225
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    • 2019
  • The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.

A Data Based Methodology for Estimating the Unconditional Model of the Latent Growth Modeling (잠재성장모형의 무조건적 모델 추정을 위한 데이터 기반 방법론)

  • Cho, Yeong Bin
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.85-93
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    • 2018
  • The Latent Growth Modeling(LGM) is known as the arising analysis method of longitudinal data and it could be classified into unconditional model and conditional model. Unconditional model requires estimated value of intercept and slope to complete a model of fitness. However, the existing LGM is in absence of a structured methodology to estimate slope when longitudinal data is neither simple linear function nor the pre-defined function. This study used Sequential Pattern of Association Rule Mining to calculate slope of unconditional model. The applied dataset is 'the Youth Panel 2001-2006' from Korea Employment Information Service. The proposed methodology was able to identify increasing fitness of the model comparing to the existing simple linear function and visualizing process of slope estimation.

Analyzing the Effectiveness of Education Utilizing Hybrid Model (하이브리드 교수 모델을 이용한 수업 효과 분석)

  • Bong, Won Young;Jeong, Goo-Churl
    • The Journal of the Korea Contents Association
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    • v.16 no.2
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    • pp.513-524
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    • 2016
  • The purpose of this study was to open two classes with the name of $21^{st}$ Leadership, run with two different hybrid teaching styles which are hybrid LZ type and hybrid lz type, and compare them with each other in order to analyze their effectiveness of hybrid model of the subject. The subjects of this study were 64 students who took these classes, and statistical analysis were analyzed through SPSS 21.0 program. As a result of the analysis, first, there were significant development in terms of the knowledge of leadership in both LZ and lz model. but the result of final exam in the group lz was shown only significant development. Second, in the case of unconditional self-acceptance there was significant development only in the group lz. Third, the development of leadership skills was shown only in the group lz. Implications of these results were concluded that the lz is more suitable for the subject of $21^{st}$ Leadership because this model can provide much more opportunities to develope interpersonal relationship skill than LZ model. In addition, suggestions for future research were discussed.

Macromodels for Efficient Analysis of VLSI Interconnects (VLSI 회로연결선의 효율적 해석을 위한 거시 모형)

  • 배종흠;김석윤
    • Journal of the Korean Institute of Telematics and Electronics C
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    • v.36C no.5
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    • pp.13-26
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    • 1999
  • This paper presents a metric that can guide to optimal circuit models for interconnects among various models, given interconnect parameters and operating environment. To get this goal, we categorize interconnects into RC~c1ass and RLC-c1ass model domains based on the quantitative modeling error analysis using total resistance, inductance and capacitance of interconnects as well as operating frequency. RC~c1ass circuit models, which include most on~chip interconnects, can be efficiently analyzed by using the model~order reduction techniques. RLC-c1ass circuit models are constructed using one of three candidates, ILC(Iterative Ladder Circuit) macromodels, MC(Method of Characteristics) macromodels, and state-based convolution method, the selection process of which is based upon the allowable modeling error and electrical parameters of interconnects. We propose the model domain diagram leading to optimal circuit models and the division of model domains has been achieved considering the simulation cost of macromodels under the environmental assumption of the general purpose circuit simulator such as SPICE. The macromodeling method presented in this paper keeps the passivity of the original interconnects and accordingly guarantees the unconditional stability of circuit models.

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Two-dimensional Inundation Analysis using Stochastic Rainfall Variation in Nam-River Basin (남강유역에서의 추계학적 강우변동 생성기법과 연계한 2차원 침수해석)

  • Ahn, Ki-Hong;Lee, Jin-Young;Han, Kun-Yeun;Cho, Wan-Hee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.610-614
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    • 2010
  • 지구온난화에 따른 이상기후 현상으로 불확실성에 대한 고려가 더욱 중요해진 지금 설계빈도의 무조건적인 상향조정에 의존하기보다는 추계학적 방법을 도입한 수문량의 확충 및 매개변수의 불확실성을 고려하기 위한 연구가 활발히 진행중이다. 본 연구에서는 강우발생의 불확실성을 반영하여 제내지에서의 침수 범위를 GIS상에서 검토하기 위해 log-ratio 방법, Johnson 시스템, 직교변환을 활용한 다변량 Monte Carlo 기법으로 추계학적 시간에 따른 강우변동을 생성하였다. 생성된 강우변동 결과를 토대로 수문분석, 홍수위 분석 등을 실시하고 FLUMEN 모형을 적용하여 해당유역에 대한 홍수범람시 침수범위를 산정하였다. 본 연구결과는 실제 강우의 불확실성을 반영하고 있어 시 공간적 강우특성이 반영된 유역별 주민대피지도, 홍수위험지도 등을 제작하는데 활용될 수 있을 것으로 기대된다.

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An Integrated Process Control Scheme Based on the Future Loss (미래손실에 기초한 통합공정관리계획)

  • Park, Chang-Soon;Lee, Jae-Heon
    • The Korean Journal of Applied Statistics
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    • v.21 no.2
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    • pp.247-264
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    • 2008
  • This paper considers the integrated process control procedure for detecting special causes in an ARIMA(0,1,1) process that is being adjusted automatically after each observation using a minimum mean squared error adjustment policy. It is assumed that a special cause can change the process mean and the process variance. We derive expressions for the process deviation from target for a variety of different process parameter changes, and introduce a control chart, based on the generalized likelihood ratio, for detecting special causes. We also propose the integrated process control scheme bases on the future loss. The future loss denotes the cost that will be incurred in a process remaining interval from a true out-of-control signal.

Numerical anslysis of Transcritical Flow in Open Channels Using High-Resolution scheme I. : Model Development (고정확도 수치기법을 이용한 하천 천이류 해석 I. : 모형 개발)

  • Kim, Won;Han, Kun-Yeun
    • Journal of Korea Water Resources Association
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    • v.34 no.1
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    • pp.45-55
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    • 2001
  • Transcritical flow is a term intended to denote the existence of both supercritical and subcritical flows within a computational domain. The major problems that need to be addressed while modeling transcritical flows include handling the differing features of signal propagation in subcritical and supercritical flow regions and maintaining conservation. The present study proposes the implicit ENO method as a high-resolution scheme for transcritical flow. This implicit ENO scheme is based on the ENO method, a new class of uniformly high-order-accurate essentially non-oscillatory implicit scheme, which has the advantage of unconditional stability. The implicit ENO scheme has not been used for the transcritical flow in open channel until now. As a result of application to the hypothetical dam-break flow, the implicit ENO scheme was ploved to produce accurate results with good robustness even though in the case of verb strong shock wave.

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Analysis of Characteristics of Coastal Passenger Ships on the Voyage Scheduling using Panel Regression Analysis (패널회귀분석을 이용한 연안여객선 취항계획 특성분석에 관한 연구)

  • YEO, Gi-tae;PARK, Sung-hoon;OH, Jae-gyun;Yang, Tae-hyun;Nam, Tae-hyun
    • The Journal of shipping and logistics
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    • v.35 no.1
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    • pp.21-50
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    • 2019
  • The aim of this study is to analyse a characteristic analysis of coastal passenger vessels' voyage scheduling using the Panel Regression Analysis. The GLS and Fixed Effect Analysis show that the number of canceled flights and passenger transport performance have a positive impact on the voyage scheduling, and that the freight transport performance and freight income vary from model to model. Also, through the LSDV and OLS analysis, the trend of cluster formation by regional office was confirmed. This indicates that there are frequent changes in passenger ship companies and ships, and in-depth plans are needed in various respects rather than the expansion of unconditional ships. Subsequent studies need to generate more detailed and practical results by further analysis of detailed factors, dividing them by route and vessel type.

Trajectories of Drinking problems of the elderly: A Longitudinal Multi-level Growth Curve Model for Change (노인의 음주문제 발달궤적의 예측요인 : 다수준 성장곡선 모형의 적용)

  • Ahn, Jun Hee;Jang, Soo Mi
    • Korean Journal of Social Welfare Studies
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    • v.43 no.1
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    • pp.389-411
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    • 2012
  • A new era of research has focused on examining the growth of change in drinking problems among the elderly. Thus, the purpose of the present study was two fold: (1) to investigate trajectories of drinking problems(CAGE) among the Korean elderly(age$${\geq_-}65$$); and (2) to identify the predicting factors for the intercept and the slope of alcohol problems using multi-level growth curve model. Data come from three waves(1st wave(2006)~3rd wave(2008) of the Korea Welfare Panel(KWP) study. The results indicated that the levels of drinking problems decreased over time and that age, gender, marital status, religion, poverty, self-rated health, and social relationship satisfaction were associated with the baseline CAGE. Further analysis showed that social relationship satisfaction affected the declining slope of drinking problems over time. Specifically, among those who satisfied social relationship, there was a sharp decline of CAGE over time. Overall findings highlight the importance of developing and implementing effective alcohol prevention programs for the elderly in the community settings to mitigate the harmful effects of various psycho-social stressors. Especially, programs to maintain and form healthy social support network are suggested as critical interventions for prevention as well as recovery of alcohol problems in late life.

Two-dimensional Inundation Analysis Using Stochastic Rainfall Variation and Geographic Information System (추계학적 강우변동생성 기법과 GIS를 연계한 2차원 침수해석)

  • Lee, Jin-Young;Cho, Wan-Hee;Han, Kun-Yeun;Ahn, Ki-Hong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.1
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    • pp.101-113
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    • 2010
  • Recently actual rainfall pattern is decreasing rainy days and increasing in rainfall intensity and the frequency of flood occurrence is also increased. To consider recent situation, Engineers use deterministic methods like a PMP(Probable Maximum Precipitation). If design storm wouldn't occur, increasing of design criteria is extravagant. In addition, the biggest structure cause trouble with residents and environmental problem. And then it is necessary to study considering probability of rainfall parameter in each sub-basin for design of water structure. In this study, stochastic rainfall patterns are generated by using log-ratio method, Johnson system and multivariate Monte Carlo simulation. Using the stochastic rainfall patterns, hydrological analysis, hydraulic analysis and 2nd flooding analysis were performed based on GIS for their applicability. The results of simulations are similar to the actual damage area so the methodology of this study should be used about making a flood risk map or regidental shunting rout map against the region.