• Journal of Information Processing Systems
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• 제10권4호
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• pp.543-554
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• 2014

It is difficult for mobile learners to maintain a high level of concentration when learning content for more than an hour while they are on the move. Despite the attention span issue, many m-learning systems still provide their mobile learners with the same content once used in e-learning systems. This has called for an investigation to identify the suitable characteristics of the m-learning environment. With this in mind, we have conducted a survey in hopes of determining the requirements for developing more suitable m-learning content. Based on the results of the survey, we have developed a content model comprised of two types: a segment type and a supplement type. In addition, we have implemented a prototype system of the content model for Apple iPhones and Android smartphones in order to investigate a feasibility study of the model application.

• 융합보안논문지
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• 제20권4호
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• pp.91-101
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• 2020

과거 해외에서 발생한 APT 공격사례를 사이버 킬체인 모델과 TTP 모델로 분석하였다. 분석 결과 사이버 킬체인 모델은 전체적인 윤곽을 파악하는데 효과적이지만 구체적인 방어 전략을 수립하는 데에는 부적합하며, TTP 모델로 분석해야만 실질적인 방어 체제를 구비하는데 적합함을 알 수 있었다. 이러한 분석 결과를 바탕으로 사이버 공격을 대비하는 관점에서 심층 방어선 구축에 적합한 TTP 모델 관점에서 방어 기술 개발이 필요함을 제시한다.

• 한국콘텐츠학회논문지
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• 제6권8호
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• pp.20-29
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• 2006

본 논문은 IP를 통한 화상전화 서비스 환경에서 통화 품질 측정 E-Model을 개선하여 품질 분석과 유비쿼터스 환경에 적합한 화상전화 서비스 통화 품질 측정 모델을 제안한다. 이 연구는 영상전송에서 여러 손실 요소 중 부호화 및 지연에 관련된 모델을, 음성에서는 버스트 패킷 손실과 최신 효과를 적용하여 화상전화 서비스의 품질을 측정할 수 있게 하며, NR factor측정 모델과 UR factor측정 모델을 사용하여 사용자가 인지하는 실제 품질에 더 가깝도록 지연과 최신효과를 추가하는 방법을 제공한다. 결과적으로 화상전화 서비스 통화 품질 모델에 최신 효과를 감안하여 기존 모델보다 더 정확한 결과 값을 보일 수 있다.

• 한국유통학회지:유통연구
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• 제3권1호
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• pp.145-158
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• 1998

The selection of proposed sites for the general logistic center of agriculture products would be made the most suitable place by considering the spread of population as real consumers, the prospect of the demand, the expansion of traffic system, the regional, hourly and carring traffic volume and the use of land based urban planning, etc. As the preconsideration, the possible occupant companies have to be selected on the category of business and the district. After posing questions and having interview, several selected regions would be compared and analysed for deciding the most suitable place. The model for the general logistic center of agricultural products must be selected taking key factors approach for choosing key factors at first and referring to many documentary records. And the more, cooperating with the specialists for location selection and making objective questions to concerned companies, the most suitable place is selected by marking high score for the moderate land cost, the low traffic jam, the connection with the back cities and the possible expansion as the general logistic center of agriculture products.

• International Journal of CAD/CAM
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• 제2권1호
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• pp.55-67
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• 2002

In many areas of industry, it is desirable to have fast and reliable systems in order to quickly obtain suitable solid models for computer- aided analyses. Nevertheless it is well known that the data exchange process between CAD modelers and CAE packages can require significative efforts. This paper presents an approach for geometrical data exchange through triangulated boundary models. The proposed framework is founded on the use of STL file specification as neutral format file. This work is principally focused on data exchange among CAD modelers and FEA packages via STL. The proposed approach involves the definition of a topological structure suitable for the STL representation and the development of algorithms for topology and geometry data processing in order to get a solid model suitable for finite element analysis or other computer aided engineering purposes. Different algorithms for model processing are considered and their pros and cons are discussed. As a case study, a prototype modeler which supports an exporting filter for a commercial CAE package has been implemented.

• 신재생에너지
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• 제20권2호
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• pp.2-16
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• 2024

Various loads induced by marine environmental conditions, such as waves, currents, and wind, are crucial for the operation and viability of offshore wind power (OWP) systems. In particular, waves have a significant impact on the stress and fatigue load of offshore structures, and highly reliable design parameters should be derived through extreme value analysis (EVA) techniques. In this study, extreme wave analyses were conducted with various Weibull distribution models to determine the reliable design parameters of an OWP system suitable for the Ulsan area. Forty-three years of long-term hindcast data generated by a numerical wave model were adopted as the analyses data, and the least-squares method was used to estimate the parameters of the distribution function for EVA. The inverse first-order reliability method was employed as the EVA technique. The obtained results were compared among themselves under the assumption that the marginal probability distributions were 2p, 3p, and exponentiated Weibull distributions.

• 한국환경과학회지
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• 제9권6호
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• pp.455-462
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• 2000

This study aims at the development of the model for a forecasting of water quality in river basins using artificial neural network technique. Water quality by Artificial Neural Network Model forecasted and compared with observed values at the Sangju q and Dalsung stations in Nakdong river basin. For it, a multi-layer neural network was constructed to forecast river water quality. The neural network learns continuous-valued input and output data. Input data was selected as BOD, CO discharge and precipitation. As a result, it showed that method III of three methods was suitable more han other methods by statistical test(ME, MSE, Bias and VER). Therefore, it showed that Artificial Neural Network Model was suitable for forecasting river water quality.

• 해양환경안전학회지
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• 제21권3호
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• pp.253-258
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• 2015

The purpose of this study is to find suitable probability distribution function of complex distribution data like multimodal. Normal distribution is broadly used to assume probability distribution function. However, complex distribution data like multimodal are very hard to be estimated by using normal distribution function only, and there might be errors when other distribution functions including normal distribution function are used. In this study, we experimented to find fit probability distribution function in multimodal area, by using AIS(Automatic Identification System) observation data gathered in Mokpo port for a year of 2013. By using chi-squared statistic, gaussian mixture model(GMM) is the fittest model rather than other distribution functions, such as extreme value, generalized extreme value, logistic, and normal distribution. GMM was found to the fit model regard to multimodal data of maritime traffic flow distribution. Probability density function for collision probability and traffic flow distribution will be calculated much precisely in the future.

• 한국통신학회논문지
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• 제31권8B호
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• pp.769-776
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• 2006

기술개발에 대한 적절한 평가를 실시하는 것은 매우 중요하며, 기술평가가 기술개발 활동과 일체화하여 정착될 필요가 있다. 이에 본 논문의 목적은 프로젝트를 수행하는 데 있어서 업체들이 제안한 내용들이 기술 분야에 대해서 요구사항과의 적합성을 판단한다. 그리고 이에 대한 데이터를 추정하도록 한다. 그래서 추정된 값을 TEPM(Technology Evaluation Process Model)에 이용하여 최적의 업체 선정 방법을 검증하였다.

• 한국항해항만학회지
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• 제29권4호
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• pp.299-304
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• 2005

A simulation system is needed to train students and mariners in order that they can take suitable actions to evade typhoon's strike promptly and sufficiently. In order to make such kind of system, three kinds of models about the typhoon are necessary, typhoon prediction model to generate typhoon's track, wind & wave-field model to make sea conditions around the typhoon and evaluation model of trainee's action whether their actions were suitable or not during simulation. We have developed the prediction and wind & wave-field models of typhoon, but the evaluation model has not been developed yet. In this paper, after making a method for evaluating trainee's actions by seakeeping performance, we propose an typhoon avoidance simulation system for training mariners so that they can promote their abilities to evade the typhoons at sea.