• Title/Summary/Keyword: ED모형

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Ecohydrological Effects of Climate and Land-Use Changes in Jeju Island using Ecosystem Demography Model (ED 모형을 활용한 제주도의 기후 변화 및 토지 이용 변화의 생태수문학적 영향)

  • Kim, Jeongbin;Kim, Yeonjoo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.107-107
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    • 2018
  • 기후 변화가 심해짐에 따라 한반도의 기후 또한 온대에서 아열대로 변화하고 있다. 기후대가 변하게 되면 수문학적 순환 및 식생의 분포 또한 달라지게 된다. 식생의 분포는 결국 토지 이용을 의미하며, 서로 다른 토지 이용은 대기와의 상호작용을 통해 각기 다른 반응을 보이게 된다. 본 연구에서는 기후대가 가장 빠르게 변화하고 있는 제주도를 대상으로 기후 변화 및 토지 이용 변화에 따른 생태수문학적 영향을 Ecosystem Demography Model version 2.2(ED-2.2) 모형을 사용하여 살펴 본다. 제주도의 플럭스 타워 및 산림 조사 자료를 활용하여 ED-2.2 모형을 검증하였다. CRU-NCEP 기상자료 및 Land-Use Harmonization (LUH) 토지이용자료를 활용하여 과거기간(1500~2015)의 잠재 식생 및 실제 식생 상태를 산정하고 그 차이를 분석하였다. 산정된 최종 실제 식생 상태를 바탕으로 기후 및 토지이용 시나리오(RCP 3.0 및 6.0)를 적용하고, 다양한 전지구모형(GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, MIROC5)의 기상자료에 따라 물 순환, 탄소 순환 및 식생의 분포가 어떻게 달라지는 지 분석한다.

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Determinants of IT Usage : Test of the Revised TAM

  • Park, Tong-Jin
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.1
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    • pp.87-96
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    • 2002
  • This study is design ed to assess Information Technology (IT) acceptance models among Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and the revised TAM using structural equation modeling. Research results show that the revised TAM with perceived ease of use, perceived usefulness and IT usage variables is slightly outperformed TPB and TAM. From a managerial standpoint, the findings of this study reveal that in order to foster IT usage, it is important to encourage a positive perceived ease of use and usefulness.

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Diagnostic Device Model for Insecticide susceptibilities of Beet Armyworm, Spodoptera exigua(Hubner) (파밤나방(Spodoptera exigua (Hiibner)) 살충제 감수성 진단장치모형)

  • 김용균;이준익;강성영;한상찬
    • Korean journal of applied entomology
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    • v.38 no.1
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    • pp.53-57
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    • 1999
  • Simple diagnostic kits for monitoring insecticide susceptibility of beet armyworm, Spodoptera exigua (Hiibner) were developed and applied to the field populations. The operation of the kits was based on the correlations between enzyme activities of esterase (EST) and acetylcholinesterase (AChE) and the insecticide susceptibilities. Four different kinds of diagnostic kits (ED, EM, AD, and AM) were designed and classified by diagnostic enzymes (E for esterases and A for acetylcholinesterase) and inhibitors (D for dichlorvos and M for monocrotophos). Diagnostic inhibitor concentrations were 1 mM for ED, 10 mM for EM, 100 mM for AD, and 100 mM for AM. Resistant larvae which were not inhibited by the diagnostic amounts of insecticides developed positive staining (red color), but susceptible~ s howed negative (no color). An insect was used for both EST and AChE diagnostic kits, but different in their samples: hemolymph for EST and the head for AChE. These four diagnostic kits were applied to 1 1 different populations which showed variations of insecticide susceptibilities. Four kits were different in the capability discriminating the insecticide susceptibilites according to insecticides: ED to bifenthrin, AD to methomyl, and ED and AM to chlorpyrifos-methyl. These diagnostic devices can be used for insecticide-resistance management program for this insect pest. It also provide a technical guide to insect pest management for farmers, directors, and researchers.

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Exploration of Digital Textbook Adoption and Implementation based on an extended Technology Acceptance Model (확장된 정보기술수용모델(TAM)을 기반으로 디지털교과서 수용 및 활용 탐색)

  • Suh, Soon-Shik
    • Journal of The Korean Association of Information Education
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    • v.15 no.2
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    • pp.265-275
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    • 2011
  • The purpose of this study was to identify the factors that determined the adoption of digital textbook among elementary and middle school teachers, and to propose and validate a revised Technology Acceptance Model. The study was grounded in the innovation diffusion theory and the attribute factors proposed in the theory were used in the model. More specifically, observability, compatibility, and subjective norms were proposed as external factors and usefulness, easy of use, intention to use were proposed as internal factors in the proposed model. It was found that (a) observability, compatibility, and subjective norms were the main external factors that influenced the teachers' intention to use digital textbook and (b) the revised TAM was validated.

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A participatory action research on the developing and applying mathematical situation based problem solving instruction model (상황중심의 문제해결모형을 적용한 수학 수업의 실행연구)

  • Kim, Nam-Gyun;Park, Young-Eun
    • Communications of Mathematical Education
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    • v.23 no.2
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    • pp.429-459
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    • 2009
  • The purpose of this study was to help the students deepen their mathematical understanding and practitioner improve her mathematics lessons. The teacher-researcher developed mathematical situation based problem solving instruction model which was modified from PBL(Problem Based Learning instruction model). Three lessons were performed in the cycle of reflection, plan, and action. As a result of performance, reflective knowledges were noted as followed points; students' mathematical understanding, mathematical situation based problem solving instruction model, improvement of mathematics teachers.

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Asset Pricing From Log Stochastic Volatility Model: VKOSPI Index (로그SV 모형을 이용한 자산의 가치평가에 관한 연구: VKOSPI 지수)

  • Oh, Yu-Jin
    • The Korean Journal of Applied Statistics
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    • v.24 no.1
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    • pp.83-92
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    • 2011
  • This paper examines empirically Durham's (2008) asset pricing models to the KOSPI200 index. This model Incorporates the VKOSPI index as a proxy for 1 month integrated volatility. This approach uses option prices to back out implied volatility states with an explicitly speci ed risk-neutral measure and risk premia estimated from the data. The application uses daily observations of the KOSPI200 and VKOSPI indices from January 2, 2003 to September 24, 2010. The empirical results show that non-affine model perform better than affine model.

Three-Stage Strati ed Randomize Response Model (3단계 층화확률화응답모형)

  • Kim, Jong-Min;Chae, Seong-S.
    • The Korean Journal of Applied Statistics
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    • v.23 no.3
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    • pp.533-543
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    • 2010
  • Asking sensitive questions by a direct survey method causes non-response bias and response bias. Non-response bias arises from interviewees refusal to respond and response bias arises from giving incorrect responses. To rectify these biases, Warner (1965) introduced a randomized response model which is an alternative survey method for socially undesirable or incriminating behavior questions. The randomized response model is a procedure for collecting the information on sensitive characteristics without exposing the identity of the respondent. Many survey researchers have proposed diverse variants of the Warner randomized response model and applied their model to collect the information of sensitive questions. Using an optimal allocation, we proposed three-stage stratified randomized response technique which is an extension of the Kim and Elam (2005) two-stage stratified randomized response technique. In this study, we showed that the estimator based on the proposed response model is more efficient than Kim and Elam (2005). But by adding one more survey step to the Kim and Elam (2005), our proposed model may have relatively less privacy protection compared to the Kim and Elam (2005) model.

A Task Assignment Rule for the Registered Nurses of the Emergency Department of Hospital Using Multiple System Attributes (병원 응급실에서 여러 속성을 고려한 간호사 치료태스크 할당 규칙에 관한 연구)

  • Kim, Dae-Beom
    • Journal of the Korea Society for Simulation
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    • v.18 no.4
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    • pp.107-116
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    • 2009
  • Overcrowding in an Emergency Department (ED) of hospital is a common phenomenon. To improve the service quality and system performance of the ED, a task assignment rule for the Registered Nurses (RNs) is proposed in this paper. At each task assignment point, the rule prioritizes all treatment requests based on the urgency which is determined by the multiple attributes such as accomplishment time of treatment task, elapsed time of treatment request, total remain time to patient discharge, and number of remain treatments. The values of partial urgency with a single criterion are determined and then overall urgency is computed to find the most urgent one among current requests with the importance weights assigned to the criteria. Through computer simulation, the performance of the proposed rule is compared with current rule in terms of the length of stay and system throughput in a simplified ED system of the hospital M.

Signal Optimization Model Reflecting Alternative Use of Lanes for Left/Through Traffic at A Signalized Intersection (차로공동이용화를 위한 신호최적화모형 개발 연구)

  • 신언교;홍성표;김동녕
    • Journal of Korean Society of Transportation
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    • v.19 no.3
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    • pp.75-88
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    • 2001
  • Signal optimization model for alternative use of lanes at a signalized intersection with an stop-line added backward was presented in this paper. The simulation results shot-ed that the traffic fed from the stop-line passed the intersection in each specified phasing interval for left and through traffic. The experimental results indicated that the proposed model was much superior to traditional signal optimization methodology in reducing delay, fuel consumption, and disutility index for delay and stops. The effects for reducing delay were greater than those for doing fuel consumption and disutility index due to the added stop-line. The proposed model is expected to alleviate traffic congestion at intersections, both which have no left turn pocket, and which have large left turn volume. The model is recommended to adapted for intersections spaced long among them with no near driveway.

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The Comparative Study for the Property of Learning Effect based on Delay ed Software S-Shaped Reliability Model (지연된 소프트웨어 S-형태 신뢰성모형에 의존된 학습효과 특성에 관한 비교 연구)

  • Kim, Hee-Cheul;Shin, Hyun-Cheul
    • Convergence Security Journal
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    • v.11 no.6
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    • pp.73-80
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    • 2011
  • In this study, software products developed in the course of testing, software managers in the process of testing software and tools for effective learning effects perspective has been studied using the NHPP software. The delayed software S-shaped reliability model applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R^2$(coefficient of determination).