• Title/Summary/Keyword: 2-stage model

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Development of Analytic Model for Determinants on the Stages of Change in Colorectal Cancer Screening (대장암검진 수검 결정요인 분석모형 개발)

  • Kye, Su-Yeon;Moon, In-Ok
    • Korean Journal of Health Education and Promotion
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    • v.27 no.2
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    • pp.79-93
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    • 2010
  • Objectives: This study aims to identify the factors associated with the stages of change in colorectal cancer screening, and develop a model explaining these stages of change by using structural equation modeling analysis. Methods: On the basis of literature review and expert advice, we constructed our hypothetical model that consisted of five theoretical constructs(process of change, pros, cons, self-efficacy, stage of change). In 2009, data was collected from 486 participants aged between 50 and 69. The data were analyzed by SPSS 15.0 and AMOS 6.0. Results: In the case of stage of adoption, the contemplation stage was the most common (37.4%), followed by the action stage (26.5%). In the final model of the stage of change for colorectal cancer screening, there was a direct influence of the process of change ($\gamma$=.562, p<.001), and cons ($\gamma$=.132, p<.01) on the stage of change with the terms of GFI .931, AGFI .904, RMR .038, NFI .930, and NNFI .936. Conclusion: It is necessary to produce and disseminate evidence-based cancer screening information, which can mitigate the negative attitude among the public toward cancer screening. Also, it is essential to provide a safer and more comfortable environment at cancer screening center.

Development of ResNet based Crop Growth Stage Estimation Model (ResNet 기반 작물 생육단계 추정 모델 개발)

  • Park, Jun;Kim, June-Yeong;Park, Sung-Wook;Jung, Se-Hoon;Sim, Chun-Bo
    • Smart Media Journal
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    • v.11 no.2
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    • pp.53-62
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    • 2022
  • Due to the accelerated global warming phenomenon after industrialization, the frequency of changes in the existing environment and abnormal climate is increasing. Agriculture is an industry that is very sensitive to climate change, and global warming causes problems such as reducing crop yields and changing growing regions. In addition, environmental changes make the growth period of crops irregular, making it difficult for even experienced farmers to easily estimate the growth stage of crops, thereby causing various problems. Therefore, in this paper, we propose a CNN model for estimating the growth stage of crops. The proposed model was a model that modified the pooling layer of ResNet, and confirmed the accuracy of higher performance than the growth stage estimation of the ResNet and DenseNet models.

Understanding Turing and Kierkegaard through a Mathematical Model (튜링과 키에르케고어: 수학적 모델을 통한 이해)

  • Park, Chang Kyun
    • Journal for History of Mathematics
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    • v.27 no.2
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    • pp.139-152
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    • 2014
  • This paper aims to compare and contrast Kierkegaard and Turing, whose birth dates were one hundred years apart, analyzing them from the perspective of the limit. The model of analysis is two concentric circles and movement in them and on the boundary of outer circle. In the model, Kierkegaard's existential stages have 1:1 correspondences: aesthetic stage, ethical stage, religious stage A and religious stage B correspond to inside of the inner circle, outside of the inner circle, the boundary of the outer circle and the outside of the outer circle, respectively. This paper claims that Turing belongs to inside of the outer circle and moves to the center while Kierkegaard belongs to outside of the outer circle and moves to the infinity. Both of them have movement of potential infinity but their directions are opposite.

Analysis of two-stage Continuous Culture System by Transient Response of Single-stage Continuous Culture System (일단 연속 생물반응기의 과도상태 거동을 이용한 이단 연속 생물반응기의 해석)

  • 박성훈;공인수
    • KSBB Journal
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    • v.7 no.4
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    • pp.308-316
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    • 1992
  • Two-stage continuous culture system has been studied intensively to maximize the productivity of a cloned gene product in unstable recombinant microorganism. As an effort to optimize the two-stage process, transient behavior of the second-stage was studied theoretically as well as experimentally using Escherichia coli Kl2$\delta$Hl$\delta$trp. A mathematical model describing the transient response to a step change in dilution rate was developed based on the assumption that the adaptation rate of cell growth is proportional to the available growth potential, which is defined as the difference in dilution rates between before and after shift-up. The kinetic parameters appearing in the model equations were the dimensionless step increase in growth rate($\alpha$) and the adaptation rate constant(k). These parameters were evaluated for various dilution rates and temperatures by washout method. This relatively simple adaptation model could predict the specific growth rate of the second-stage successfully. Advantage and disadvantage of the proposed model are also discussed.

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Development of an Instructional Design Model for Practical Problem-Based Learning in Practical Arts Based on the Backward Design Model (백워드 설계 모형에 기초한 실과 실천적 문제 중심 수업 설계 모형 개발)

  • Lee, Eun-young;Choi, Ji-Yeon;Chae, Jung-Hyun
    • Journal of Korean Home Economics Education Association
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    • v.31 no.2
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    • pp.155-175
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    • 2019
  • This study aimed to present a concrete and systematic lesson design model for practical problem-based learning in Practical Arts based on the backward design model. To this purpose, this study was conducted in the following four stages: analysis, design, development, and evaluation. In the analysis stage, the literature related to the practical-problem-based curriculum and the instructional design model were reviewed as the theoretical foundations, and the 2015 revision of Practical Arts curriculum was analyzed. In the design stage, based on the literature review, the stages and sub-elements of practical-problem-based learning in Practical Arts were determined, and a template of instructional design was constructed. In the development stage, the design model was drafted based on the stages and sub-elements determined at the design stage. In the evaluation stage, the drafted design model from the development stage was evaluated, modified, and enhanced through expert verification. Based on the suggestions from the experts, the 'practical problem setting' stage was added to the original three-stage model, resulting in a model composed of the following four stages: practical problem setting, goal setting, evaluation planning, and learning activity planning. The experts appraised that the developed model of practical-problem-based instructional design in Practical Arts to be a systematic template that would serve as a concrete guideline for teachers who are trying to design classes based on practical problems.

Flow Analysis of Rivers by using FESWMS-2DH (FESWMS-2DH를 이용한 하천의 흐름 해석)

  • Lee, Cheol-Eung;Shim, Jae-Wook;Park, Dong-Heon
    • Journal of Industrial Technology
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    • v.29 no.A
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    • pp.111-122
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    • 2009
  • In this study, flood stage was computed by HEC-RAS, 1-D numerical analysis model and FESWMS-2DH, 2-D numerical model. Flood stages computed by two different models were compared for straight line, dot axle watercourse, dead-zone watercourse, section sudden-changing watercourse, and curved watercourse. From the results, flow velocity and water level were similar in straight watercourse and dot-reduction watercourse. However, there was difference of flow velocity and water level in dead-zone watercourse, sudden expansion, dot-reduction, and curve-watercourse. This result might be influenced by rapid change of watercourse due to dead-zone, the angle of inflow and outflow, and the curvature. Especially in this study, numerical model was applied to Wol-Song-Cheon at Chuncheon in order to analyze the effect of flood stage by two different models. By flowing properties around the bridge and confluence of rivers, it was found that flow velocity and water level was changed. Therefore, it was concluded that a lot of uncertainties are contained in the present bank.

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Application of Artificial Neural Network Model for Environmental Load Estimation of Pre-Stressed Concrete Beam Bridge (PSC Beam교 환경부하량 추정을 위한 인공신경망 모델 적용 연구)

  • Kim, Eu Wang;Yun, Won Gun;Kim, Kyong Ju
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.4
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    • pp.82-92
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    • 2018
  • Considering that earlier stage of construction project has a great influence on the possibility of lowering of environmental load, it is important to build and utilize system that can support effective decision making at the initial stage of the project. In this study, we constructed an environmental load estimation model that can be used at the early stage of the project using basic design factors. The model was constructed by using the artificial neural network to estimate environmental load by applying to planning stage (ANN-1), basic design stage (ANN-2). The result of test, shows that average of absolute measuring efficiency and standard deviation of ANN-1 and ANN-2 were 11.19% / 5.30% and 9.59% / 3.09% each. This result indicates that the model using the input variables extended with the project progress has high reliability and it is considered to be effective in decision support at the initial design stage of the project.

A Study on the Rejection Algorithm Using Generic Word Model Based on Diphone Subword Unit (다이폰 기반의 Generic Word Model을 이용한 거절 알고리즘)

  • Chung, Ik-Joo;Chung, Hoon
    • Speech Sciences
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    • v.10 no.2
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    • pp.15-25
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    • 2003
  • In this paper, we propose an algorithm on OOV(Out-of-Vocabulary) rejection based on two-stage method. In the first stage, the algorithm rejects OOVs using generic word model, and then in the second stage, for further reduction of false acceptance, it rejects words which have low similarity to the candidate by measuring the distance between HMM models. For the experiment, we choose 20 in-vocabulary words out of PBW445 DB distributed by ETRI. In case that the first stage is processed only, the false acceptance is 3% with 100% correct acceptance, and in case both stages are processed, the false acceptance is reduced to 1% with 100% correct acceptance.

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Estimation of Logistic Regression for Two-Stage Case-Control Data (2단계 사례-대조자료를 위한 로지스틱 회귀모형의 추론)

  • 신미영;신은순
    • The Korean Journal of Applied Statistics
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    • v.13 no.2
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    • pp.237-245
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    • 2000
  • In this paper we consider a logistic regression model based on two-stage case-control sampling and study the Weighted Exogeneous Sampling Maximum Likelihood(WESML) method to get an asymptotically normal estimates of the parameters in a logistic regression model. A numerical example is carried out to demonstrate the differences between the Conditional Maximum Likelihood(CML) estimates and the WESML estimates for two-stage case-control data.

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The Optimal Ordering Policy for the Generalized Two-Stage Inventory System (일반화된 2단계 재고체계에서의 최적주문정책)

  • 정남기;차동원
    • Journal of the Korean Operations Research and Management Science Society
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    • v.4 no.1
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    • pp.25-31
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    • 1979
  • We consider the optimal ordering policy for a single-product two-stage inventory system where the main assumptions are as follows: (i) constant continuous demand only at stage 2, (ii) constant input (production) rate at stage 1, (iii) instantaneous delivery (transportation) from stage 1 to stage 2, (iv) backlogging is allowed only at stage 2, (v) an infinite planning horizon. Costs considered are ordering and linear holding costs at both stages, and linear shortage cost only at stages 2. By solving 9 different case problems, we have observed the general from of the optimal ordering policies for our model which minimizes the total cost per unit time. It is noticeable from this observation that the questionable but more often than not adopted assumption by many authors in determining the optimal potimal policy for multistage inventory systems, that the ordering (lot) sizes at each stage remain constant thruout the planning horizon, is not valid.

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