• 대한산업공학회지
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• 제13권1호
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• pp.25-29
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• 1987

When the historical data are available, the diffusion model, which describes the time pattern of the adoption process of a new product or technology or service, has been used as a reasonable predictor in the telecommunication demand forecasting area. This paper shows that the diffusion model is applicable when the historical data are not available. The model used is in the form of a "logistic" function. The parameters of the function are estimated using the questionnaire and the historical data of reference products. From the questionnaire, an initial and an upper limit long run value of the market share are estimated, and the diffusion time to the upper limit value is determined by the relation between the investment and the utility.

• 한국환경과학회지
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• 제7권4호
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• pp.541-548
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• 1998

Aqueous phase adsorption of phenols by granular activated carbon was studied in a batch adsorption vessel. Adsorption Isotherms of phenol(Ph), p-chlorophenol(PCP) and p-nitrophenol (PNP) from aqueous solution on granular activated carbon have been obtained. The experimental data were analyzed by the surface and pore diffusion models. Both models could be applied to predict the adsorption phenomena. However, the pore diffusion model was slightly better than the surface diffusion model In representing the experimental data for the initial concentration changes. Therefore, the pore diffusion model was used to predict the change of operating variables such as the agitation speed and Particle size of adsorbent which have influence on the film resistance and intraparticle diffusion.

• 대한전기학회논문지:전력기술부문A
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• 제48권10호
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• pp.1183-1189
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• 1999

This paper presents the method of parameter estimation of diffusion model for monitoring Demand-Side Management program. Bass diffusion model was applied in this paper, which has different values according to the following parameters; coefficients of innovation, imitation and potential adopters. Though it is very important to estimate three parameters precisely, there has been no empirical way in practice. Thus, this paper presents the method of parameter estimation in case of few data with constraints to reduce the possibility of bad estimation. The constraints can be empirical results or expert's decision. Case studies show the diffusion curves and forecasted values of the peak for the high-efficient lighting. The feedback and nonlinear least-square parameter estimation methods used in this paper enable us to evaluate the status and to predict the effect of DSM program.

• 대한수학회보
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• 제42권2호
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• pp.397-404
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• 2005

In this note, we characterize the limiting diffusion of a diploid model by defining the discrete generator for the resealed Markov chain. We conclude that this limiting diffusion model is with uncountable state space and mutation selection and special 'mutation or gene conversion rate'.

• 패션비즈니스
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• 제20권6호
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• pp.66-78
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• 2016

Hygroscopic knitted cotton fabric was found to spontaneously absorb water showing a significantly wide concentration gradient in the absorption direction. A semi-empirical diffusion model was introduced to describe how the wicking behavior compared to the classical capillary model (Washburn's equation), which has been widely used in the textiles industry. The capillary sorption curve and the permeability coefficient, which are key variables for the model equations, were measured using an electronic balance. The concentration profile as a function of the wicking distance and the elapsed time was derived, based on the diffusion model. From the concentration profile, the wicking distance detectable by the human eye or a digital camera with the aid of an image-analysis system, could be described realistically as a function of the time. The classical capillary model could be modified by introducing the tortuous correction factor to match the diffusion model. Wicking models and data-processing techniques in the work could provide useful tools for objectively evaluating the textile's wicking performances.

• 콘크리트학회논문집
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• 제21권3호
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• pp.377-386
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• 2009

ACI life-365 기준확산계수 모델은 NT build 443 방법에 의한 시험 결과들로부터 만들어졌다. 이 방법은 침지기간 동안의 시간평균 확산계수를 구하는 방법이므로 ACI에서는 침지기간 동안의 시간평균 확산계수를 기준확산계수로 정의한 것이다. ACI 모델에서는 재령에 따른 감소효과를 지수함수 형태로 표현하고 있으므로 이를 고려한 ACI 기준확산계수 모델의 수정이 필요하다. 이를 위해 본 연구에서는 염소이온 노출개시기를 고려한 확산방정식의 해석해를 유도하고, 이를 사용하여 NT build 443 방법의 시간평균 확산계수를 기준재령의 확산계수로 변환하였다. 연구결과 life-365 기준확산계수 모델은 기존 값 보다 10% 정도 증가되고 수정되어야 함을 밝혔으며, 이에 따라 NT build 443 방법과 NT build 492 방법의 기존관계를 수정하여 내구수명 평가에 이용할 수 있도록 하였다. JCI 확산계수모델과 ACI 확산계수모델의 직접적인 비교를 위하여 JCI 확산계수모델에 대응하는 기준확산계수를 유도하였으며, 이를 통해 JCI 모델보다 ACI 모델이 더 보수적인 결과를 나타내는 것을 확인하였다.

• Journal of Information Technology Applications and Management
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• 제21권4_spc호
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• pp.403-414
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• 2014

Forecasting technology in economic activity is a quite intricate procedure so researchers should grasp the point of the data to use. Diffusion models have been widely used for forecasting market demand and measuring the degree of technology diffusion. However, there is a question that a model, explaining a certain market with goodness of fit, always shows good performance with markets of different conditions. The primary aim of this paper is to explore diffusion models which are frequently used by researchers, and to help readers better understanding on those models. In this study, Logistic, Gompertz and Bass models are used for forecasting Global Wireline Subscribers and the performance of models is measured by Mean Absolute Percentage Error. Logistic model shows better MAPE than the other two. A possible extension of this study may verify which model reflects characteristics of industry better.

• 한국해양공학회지
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• 제16권5호
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• pp.41-48
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• 2002

Numerical experiments are conducted using a three-dimensional baroclinic equation model and a Lagrangian method for clarifying the effect of th settling velocity on the suspended solids diffusion caused by the dredging and the reclamination works. Diffusion characteristics of the neutral particles and the weighting particles is experimented by the Lagrangian particles trajectory model, The results show that the diffusion characteristics of the suspended solids is effected by the settling velocity classified by the particles size in the density layered semi-closed bay. To estimate exactly the diffusion characteristics of the suspended solids and the contaminant with weight the three-dimensional baroclinic equation model and the three-dimensional Lagrangian particles trajectory model considering the settling velocity of the particle in the density layered semi-closed bay must be used.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 춘계학술발표대회
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• pp.633-635
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• 2023

센서 데이터를 예측 또는 분석하여 시스템을 제어하거나 모니터링할 수 있다. 센서 데이터를 이용한 예측의 신뢰성을 확보하기 위해서는 데이터의 적절한 빈도수가 중요하다. 이를 위해 본 논문에서는 Diffusion Model을 사용한 센서 데이터 주파수 보간을 통해 행동을 예측하는 방법을 제시하고자 한다. 주파수 보간은 반려동물 행동별 25hz 센서 데이터로 학습된 Diffusion Model을 사용한다. 학습된 Diffusion Model에 1hz 센서 데이터와 가우시안 노이즈를 결합한 데이터를 입력으로 사용해 센서데이터를 보간한다. 제안한 방법은 CNN-LSTM 모델 학습 후 예측 성능 비교를 통해 검증한다.

• 기술혁신연구
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• 제11권2호
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• pp.71-89
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• 2003

Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.