• Title/Summary/Keyword: Effective Model

Search Result 12,547, Processing Time 0.043 seconds

Development Method for Teaching-Learning Plan of Computer Education using Concrete Instructional Model Framework

  • Lee, Jaemu
    • Journal of the Korea Society of Computer and Information
    • /
    • v.22 no.10
    • /
    • pp.129-135
    • /
    • 2017
  • This research is to identify an easy and effective method of teaching-learning plan. The teaching-learning plan is a blue_print applied for designing effective lessons. However, most of the teachers regard it as a difficult and inefficient job. This study proposed the concrete instructional model framework as a tool to develop the teaching-learning plan easily and effectively. The concrete instructional model framework will represent a decomposed instructional strategy applied for each step of the instructional model developed by educational researchers. This method is applied to develop a computer teaching-learning plan. Therefore, the proposed method will expand an easier teaching-learning plan. Furthermore, the proposed method develops a teaching-learning plan with fluent content in detail based on low-level instruction strategies applied in the concrete instruction model framework.

Efficiency Assessment of Bank Branches: An Analysis Process Using DEA Model and Case Analysis (은행 지점의 효율성 평가: DEA 모형을 이용한 분석 절차 및 사례 분석)

  • 윤석진;서우종;정재우
    • Journal of the Korean Operations Research and Management Science Society
    • /
    • v.26 no.3
    • /
    • pp.39-52
    • /
    • 2001
  • Recently, the assessment of a bank efficiency focusing on its branches has been conceived as important in developing a competitive strategy. DEA (Data Envelopment Analysis) model can be employed as an effective analysis model for such an assessment. Therefore, this paper proposes an analysis process using DEA model to conduct an efficiency assessment of bank branches. The proposed process includes a segmentation of branches considering their competitive environment and strategy for target market : this approach can help to develop effective strategies for each group of branches. The proposed DEA model can analyze efficiency in terms of not only cost but also marketing. Finally, a real case is analyzed, demonstrating the effectiveness of the proposed model and process.

  • PDF

A new constitutive model to predict effective elastic properties of plain weave fabric composites

  • Mazaheri, Amir H.;Taheri-behrooz, Fathollah
    • Structural Engineering and Mechanics
    • /
    • v.77 no.5
    • /
    • pp.651-659
    • /
    • 2021
  • In this study, a new constitutive model has been developed to predict the elastic behavior of plain weave textile composites, using the finite element (FE) method. The geometric conditions and basic assumptions of this model are based on the basics of a continuum theory developed for the plane curved composites. In this model, the mechanical properties of the weave region and pure matrix region is calculated separately and then imported for the FE analysis. This new constitutive model is used to implement the mechanical properties of weave region in the representative volume element (RVE). The constitutive relations are implemented as user-material subroutine code (UMAT) in ABAQUS® FE software. The results of FE analysis have been compared with experimental results and other data available in the literature. These comparisons confirmed the capability of the presented model for the prediction of effective elastic properties of plain weave fabric composites.

The Forecasting of Monthly Runoff using Stocastic Simulation Technique (추계학적 모의발생기법을 이용한 월 유출 예측)

  • An, Sang-Jin;Lee, Jae-Gyeong
    • Journal of Korea Water Resources Association
    • /
    • v.33 no.2
    • /
    • pp.159-167
    • /
    • 2000
  • The purpose of this study is to estimate the stochastic monthly runoff model for the Kunwi south station of Wi-stream basin in Nakdong river system. This model was based on the theory of Box-Jenkins multiplicative ARlMA and the state-space model to simulate changes of monthly runoff. The forecasting monthly runoff from the pair of estimated effective rainfall and observed value of runoff in the uniform interval was given less standard error then the analysis only by runoff, so this study was more rational forecasting by the use of effective rainfall and runoff. This paper analyzed the records of monthly runoff and effective rainfall, and applied the multiplicative ARlMA model and state-space model. For the P value of V AR(P) model to establish state-space theory, it used Ale value by lag time and VARMA model were established that it was findings to the constituent unit of state-space model using canonical correction coefficients. Therefore this paper confirms that state space model is very significant related with optimization factors of VARMA model.

  • PDF

Comparative Analysis on Surplus Production Models for Stock Assessment of Red Snow Crab Chinonoecetes japonicus (붉은대게(Chinonoecetes japonicus) 자원평가를 위한 잉여생산량모델의 비교 분석)

  • Choi, Ji-Hoon;Kim, Do-Hoon;Oh, Taeg-Yun;Seo, Young Il;Kang, Hee Joong
    • Korean Journal of Fisheries and Aquatic Sciences
    • /
    • v.53 no.6
    • /
    • pp.925-933
    • /
    • 2020
  • This study is aimed to compare stock assessment models which are effective in assessing red snow crab Chinonoecetes japonicus resources and to select and apply an effective stock assessment model in the future. In order to select an effective stock assessment model, a process-error model, observation-error model, and a Bayesian state-space model were estimated. Analytical results show that the least error is observed between the estimated CPUE (catch per unit effort) and the observed CPUE when using the Bayesian state-space model. For the Bayesian state-space model, the 95% credible interval(CI) ranges for the maximum sustainable yield (MSY), carrying capacity (K), catchability coefficient (q), and intrinsic growth (r) are estimated to be 10,420-47,200 tons, 185,200-444,800 tons, 3.81E-06-9.02E-06, and 0.14-0.66, respectively. The results show that the Bayesian state-space model was most reliable among models.

Prediction Modeling on Effective Thermal Conductivity of Porous Insulation in Thermal Protection System (열방어구조의 다공성 단열재 유효 열전도율 예측 모델링)

  • Hwang, Kyung-Min;Kim, Yong-Ha;Kim, Myung-Jun;Lee, Hee-Soo;Park, Jung-Sun
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.45 no.3
    • /
    • pp.163-172
    • /
    • 2017
  • Porous insulation have been frequently used in a number of industries by minimizing thermal insulation space because of excellent performance of their thermal insulation. This paper devices an effective thermal conductivity prediction model. First of all, we perform literature survey on traditional effective thermal conductivity prediction models and compare each other model with heat transfer experimental results. Furthermore this research defines advanced effective thermal conductivity prediction models model based on heat transfer experimental results, the Zehner-Schlunder model. Finally we verify that the newly defined effective thermal conductivity prediction model has better performance prediction than other models. Finally, this research performs a transient heat transfer analysis of thermal protection system with a porous insulation using the finite element method and confirms validity of the effective thermal conductivity prediction model.

ON THE EFFECTIVE TEMPERATURES FOR EARLY TYPE STARS FROM INTEGRATED FLUXES

  • Woo, Jong-Ok
    • Journal of The Korean Astronomical Society
    • /
    • v.17 no.2
    • /
    • pp.104-114
    • /
    • 1984
  • The effective temperatures, $T_{eff}$ (flux) of 52 early type stars are derived from de-reddened monochromatic and integrated fluxes obtained by absolute spectrophotometry, using the method of graphical analysis pioneered by Blackwell and Shallis (1977), similar to that of Underhill (1982) and Tobin (1983). We also estimated the effective temperatures, $T_{eff}$ (comp) of the same stars by comparing their de-reddened energy distributions with those of the LTE model atmospheres by Kurucz (1979). The effective temperatures derived from these two methods are found to be in good agreement, confirming that they are effective for the estimation of effective temperatures of early type stars.

  • PDF

A CBR-BASED COST PREDICTION MODEL FOR THE DESIGN PHASE OF PUBLIC MULTI-FAMILY HOUSING CONSTRUCTION PROJECTS

  • TaeHoon Hong;ChangTaek Hyun;HyunSeok Moon
    • International conference on construction engineering and project management
    • /
    • 2009.05a
    • /
    • pp.203-211
    • /
    • 2009
  • Korean public owners who order public multi-family housing construction projects have yet to gain access to a model for predicting construction cost. For this reason, their construction cost prediction is mainly dependent upon historic data and experience. In this paper, a cost-prediction model based on Case-Based Reasoning (CBR) in the design phase of public multi-family housing construction projects was developed. The developed model can determine the total construction cost by estimating the different Building, Civil, Mechanical, Electronic and Telecommunication, and Landscaping work costs. Model validation showed an accuracy of 97.56%, confirming the model's excellent viability. The developed model can thus be used to predict the construction cost to be shouldered by public owners before the design is completed. Moreover, any change orders during the design phase can be immediately applied to the model, and various construction costs by design alternative can be verified using this model. Therefore, it is expected that public owners can exercise effective design management by using the developed cost prediction model. The use of such an effective cost prediction model can enable the owners to accurately determine in advance the construction cost and prevent increase or decrease in cost arising from the design changes in the design phase, such as change order. The model can also prevent the untoward increase in the duration of the design phase as it can effectively control unnecessary change orders.

  • PDF

Estimating the Natural Cubic Spline Volatilities of the ASEAN-5 Exchange Rates

  • LAIPAPORN, Jetsada;TONGKUMCHUM, Phattrawan
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.8 no.3
    • /
    • pp.1-10
    • /
    • 2021
  • This study examines the dynamic pattern of the exchange rate volatilities of the ASEAN-5 currencies from January 2006 to August 2020. The exchange rates applied in this study comprise bilateral and effective exchange rates in order to investigate the influence of the US dollar on the stability of the ASEAN-5 currencies. Since a volatility model employed in this study is a natural cubic spline volatility model, the Monte Carlo simulation is consequently conducted to determine an appropriate criterion to select a number of quantile knots for this model. The simulation results reveal that, among four candidate criteria, Generalized Cross-Validation is a suitable criterion for modeling the ASEAN-5 exchange rate volatilities. The estimated volatilities showed the inconstant dynamic patterns reflecting the uncertain exchange rate risk arising in international transactions. The bilateral exchange rate volatilities of the ASEAN-5 currencies to the US dollar are more variable than their corresponding effective exchange rate volatilities, indicating the influence of the US dollar on the stability of the ASEAN-5 currencies. The findings of this study suggest that the natural cubic spline volatility model with the quantile knots selected by Generalized Cross-Validation is practical and can be used to examine the dynamic patterns of the financial volatility.

Simple but Effective Vehicle Wheel Simulation based on Imaginary Wall and Impulse Model for Racing Game (가상 벽과 충격 모델에 기반한 단순하지만 효과적인 레이싱 게임용 차량 바퀴 시뮬레이션 기법)

  • Kang, Young-Min
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.10 no.10
    • /
    • pp.1752-1758
    • /
    • 2006
  • Racing game requires plausible physics model that can be simulated in realtime. Minor artifacts in racing games are easily noticed, and any kinds of games should work interactively. It is difficult to model the accurate tire-ground physics and to integrate the model into realtime environments. In this paper, an efficient and effective 'imaginary wall' model was proposed. The method can be easily implemented because of the simplicity of the physical model used, and the result of the simulation is realistic enough for the racing games.