• 콘크리트학회논문집
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• 제12권6호
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• pp.35-42
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• 2000

In paper I, the relationships between compressive strength and splitting tensile strength or modulus of elasticity were proposed. In this paper, new prediction model is investigated from estimating splitting tensile strength and modulus of elasticity with curing temperature and aging without compressive strength. New prediction model is based on the model which was proposed to predict compressive strength, and splitting tensile strength and modulus of elasticity calculated by this model are compared with experimental values of paper I. To evaluate in-situ applicability of the model, strength and modulus of elasticity tested with variable temperatures are estimated by the prediction model. The prediction model reasonably estimates the strength and the modulus of elasticity of type I and V cement concretes tested in paper I and experimental results with variable temperature tested in this paper.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.63-76
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• 2006

Marine production forecasting in fisheries is a crucial factor for managing and maintaining fishery resources. Thus this paper aims to generate a forecasting model of total marine production. The most generally method of time series model is to generate the most optimal single forecasting model. But the method could induce a different forecasting results when it does not properly infer a model To overcome the defect, I am trying to propose a single forecasting through multiple time series model. In other word, by comparing and integrating the output resulted from ARIMA and VAR model (which are typical method in a forecasting methodology), I tried to draw a forecasting. It is expected to produce more stable and delicate forecasting prospect than a single model. Through this, I generated 3 models on a yearly and monthly data basis and then here I present a forecasting from 2006 to 2010 through comparing and integrating 3 models. In conclusion, marine production is expected to show a decreasing tendency for the coming years.

• 정보처리학회논문지A
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• 제9A권4호
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• pp.615-620
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• 2002

SCORM은 교육용 컨텐츠를 SCO라는 객체 단위로 공유하고 재사용하기 위한 국제적 표준이다. 그러나 유사 영역에서의 학습 컨텐츠 재사용시 컨텐츠의 일부분을 변경해야 할 경우에도 컨텐츠 원본을 수정해야 하는 문제점을 안고 있다. 따라서 이 논문에서는 이러한 문제점을 해결하기 위해 상속이 가능한 컨텐츠를 개발할 수 있는 I-SCO 모델을 제안한다. I-SCO 모델은 SCORM 기반 컨텐츠의 오버로딩과 오버라이딩을 통한 상속을 지원하여 컨텐츠의 재사용성을 증대시킨다. 실험에서는 제안한 I-SCO 모델을 설계 및 구현하여 ADL에서 배포하는 실행환경에서 실행시켜 봄으로써 컨텐츠의 상속 기능을 확인하고 I-SCO 모델의 타당성을 입증한다.

• 한국전자통신학회논문지
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• 제8권9호
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• pp.1325-1332
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• 2013

비디오 코딩에서 GOP의 첫 번째 프레임인 I 프레임은 많은 비트를 발생시키는 인트라 모드로 압축되고 다음 프레임의 인터 모드 압축에 사용되기 때문에 I 프레임을 위한 초기 QP 값은 I 프레임뿐만 아니라 이후 프레임에도 영향을 주게 된다. 이전 연구에서 정확한 초기 QP 계산을 위해 I 프레임의 압축 후 비트량을 분석하였고, GOP의 PSNR을 최대로 하는 I 프레임의 비트량이 GOP에 상관없이 일정한 값을 가짐을 보였다. 본 논문에서는 기존 방법을 이용하여 최적의 I 프레임 비트량을 계산한 후 이 값을 이용하여 초기 QP를 계산할 수 있는 R-Q 모델을 제안한다. 제안하는 모델은 간단하면서도 적응적으로 모델 파라미터를 수정하기 때문에 실시간 응용에 적합하다. 실험 결과는 제안하는 모델이 초기 QP 계산에 필요한 트래픽 특성을 잘 반영하고 있으며 또한 실시간으로 모델 파라미터를 구하는 방법도 효과적으로 작동함을 보여준다.

• 한국작물학회지
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• 제47권5호
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• pp.390-394
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• 2002

Spikelet number per unit area(SPN) is a major determinant of rice yield. Nitrogen nutrition status and biomass during reproductive stage determine the SPN. To formulate a model for estimating SPN, the 93 field experiment data collected from widely different regions with different japonica varieties in Korea and Japan were analyzed for the upper boundary lines of SPN responses to nitrogen nutrition index(NNI), shoot dry weight and shoot nitrogen content at panicle initiation and heading stage. The boundary lines of SPN showed asymptotic responses to all the above parameters(X) and were well fitted to the exponential function of $f(X)=alphacdot{1-etacdotexp(gamma;cdot;X)}$. Excluding the constant, from the boundary line equation, the values of the equation range from 0 to 1 and represent the indices of parameters expressing the degree of influence on SPN. In addition to those indices, the index of shoot dry weight increase during reproductive stage was calculated by directly dividing the shoot dry weight increase by the maximum value ($800 extrm{g/m}^{-2}$) of dry weight increase as it showed linear relationship with SPN. Four indices selected by forward stepwise regression at the stay level of 0.05 were those for NNI ($I_{NNI}_P$) at panicle initiation, NNI($I_{NNI}_h$) and shoot dry weight($I_{DW}_h$) at heading stage, and dry weight increase($I_{DW}$) between those two stages. The following model was obtained: SPN=48683ㆍ $I_{DWH}$$^{0.482}$ㆍ $I_{NNIp}$$^{0.387}$ㆍ $I_{NNIH}$$^{0.318}$ㆍ $I_{DW}$ $^{0.35}$). This model accounted for about 89% of the variation of spikelet number. In conclusion this model could be used for estimating the spikelet number of japonica rice with some confidence in widely different regions and thus, integrated into a rice growth model as a component model for spikelet number estimation.n.n.

• Journal of the Korean Data and Information Science Society
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• 제20권2호
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• pp.273-281
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• 2009

갭모형은 구매전 기대와 구매후 성과 사이의 차이가 고객만족도와 같은 종속변수에 대한 영향을 이해하려는 기대불일치 패러다임에 근거한 것이다. 이러한 패러다임과는 달리 Bhote는 갭모형 대신에 곱모형을 제안하였다. 곱모형은 구매전 중요도와 구매후 성과를 곱하여 구하는 고객만족도지수에 근거한 것이다. 본 연구는 Bhote의 곱모형을 외식업에 적용한 것이다. 본 연구의 목적은 곱모형에 의한 외식업의 서비스품질의 5차원이 고객만족도, 재방문의도, 및 고객애호도를 설명하는 모형의 독립변수로 적합한지의 여부를 검정하는 것이다. 모형검정을 위해 회귀분석의 F-값이 활용되었다. 분석결과 곱모형은 적합한 것으로 나타났다.

• Kyungpook Mathematical Journal
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• 제49권4호
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• pp.763-770
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• 2009

We investigate the dynamical properties of a Holling type I predator-prey model, which harvests both prey and predator and stock predator impulsively. By using the Floquet theory and small amplitude perturbation method we prove that there exists a stable prey-extermination solution when the impulsive period is less than some critical value, which implies that the model could be extinct under some conditions. Moreover, we give a sufficient condition for the permanence of the model.

• 반도체디스플레이기술학회지
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• 제15권2호
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• pp.61-65
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• 2016

Facial feature detection is a fundamental function in the field of computer vision such as security, bio-metrics, 3D modeling, and face recognition. There are many algorithms for the function, active shape model is one of the most popular local texture models. This paper addresses issues related to face detection, and implements an efficient extraction algorithm for extracting the facial feature points to use on iOS platform. In this paper, we extend the original ASM algorithm to improve its performance by four modifications. First, to detect a face and to initialize the shape model, we apply a face detection API provided from iOS CoreImage framework. Second, we construct a weighted local structure model for landmarks to utilize the edge points of the face contour. Third, we build a modified model definition and fitting more landmarks than the classical ASM. And last, we extend and build two-dimensional profile model for detecting faces within input images. The proposed algorithm is evaluated on experimental test set containing over 500 face images, and found to successfully extract facial feature points, clearly outperforming the original ASM.

• 한국수자원학회논문집
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• 제32권6호
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• pp.657-664
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• 1999

본 논문은 이상호와 이길성(1995)에 의해서 제안된 LRCS(Linear Reservoir and Channel System) 강우-유출 모형의 기본 이론을 소개하였고, 모형의 민감도 분석 및 보정과정에서 나타나는 목적함수에 따른 모형 출력의 변화를 파악하고자 하였다. 보정시 매개변수 영향성 분석을 위한 "hat" 행렬과 영향성 척도의 사용을 제안하였고, 매개변수 추정시 오차 전파에 따른 모형 출력의 변화 정도 및 모형 예측치 분산과 매개변수 변화에 따른 모형 출력의 민감도와의 관련성을 조사하였다. 민감도계수와 hi의 대각 요소와 Di 값의 분석으로 매개변수 추정치의 정확성을 알 수 있었다.을 알 수 있었다.

• 경영과학
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• 제14권1호
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• pp.131-149
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• 1997

Software cost estimation is an important both for buyers and sellers(developers). We reviewed domestic and foreign researches and practices on software cost estimation with function point method comprehensively, In this paper, we derived four promising alternative function point models. They are an IFPUG(International Function Point User Group)-based model(Model I), a shorthand model for client/sever software systems(Model II), a data-oricnted model for relatively large software projects(Model III), and a general- purpose function point model for non business application softwares as well as business applications(Model IV). Empirical data shows that Model I, II, and IV are very useful function point models. In particular, model II and IV look very useful models since they are concise and accurate. These models can be incorporated in a new improved guideline for software cost estimation. General opinion survey shows that Model I, II and IV are preferable. There are no significant differences in preference between buyers and sellers. The survey also shows that users think function point method is better than step(line of code)-oriented cost estimation methods in many ways including objectivity and estimation accuracy.