• Journal of the Korean Chemical Society
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• v.60 no.4
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• pp.276-285
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• 2016

This study aimed to examine preservice science teachers' modeling ability and how it has changed in argument-based chemistry laboratory investigations. The participants for this study were twenty-one freshman students from teachers’ college and they carried out six topics of argument-based chemistry laboratory investigation. Students’ written modeling samples were collected and analyzed to investigate preservice science teacher's modeling ability and changes in it. The results of this study showed that preservice science teacher's modeling ability has improved and progressed through argument-based chemistry laboratory investigations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.7
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• pp.1711-1717
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• 2009

Under the big rush of technology commercialization education in engineering school, this paper is prepared to craft a model of Engineering-based Technology Commercialization Education. First, this paper diagnose main issues relating to technology commercialization education in engineering school pegging by literature review. Second, this paper define an effective technology commercialization education system for engineering school. Third, this paper carries comparing study between an effective technology commercialization education system and technology commercialization education system currently introducing in Korea.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.281-285
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• 2004

The purpose of this study is to present an effective management model for planning phase of architect office in korea. The research method of this study includes a questionnaire survey and statistical analysis. The results of this study are as follows; The suggested model for planning and management involves business strategy, manpower strategy, technical strategy and marketing strategy. It is verified by correlation analysis and multiple linear regression from the questionnaire survey data.

• Journal of Technology Innovation
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• v.1 no.1
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• pp.84-99
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• 1993

오래도록 생산성향상곡선 (또는 학습곡선), 생산함수, 그리고 대체곡선 등은, 서로 관련이 없는 별개의, 그리고 순전히 경험적인 (empirical) 현상들인 것들로서 이해되어 왔었다. 그러나 1980년대 중반에 발표된 Muth 교수의 탐색이론 (Search Theory)의 생산성향상곡선에서 관찰된 제반현상들을 모두 설명함으로써 이들 현상은 하나의 통합이론체계에 의하여 일관되게 설명되게 되었다. 이 이론의 초기형태는 그 보편성을 구속하는 네 가지 가설 위에 설립되었었으나 점차적으로 이들 가설들이 완화되면서 (relaxed) 이 이론은 또한 해독 력에서 뿐만 아니라 일반성에 있어서도 계속 강화되어 왔다. 본 논문의 목적은, 이들 네 가지 가설들 중 유일하게 아직 완화되지 못하고 있는, 실제 현상과 다분히 유리된, 두 번째 가설, 즉$\ulcorner$생산성향상을 위한 탐색과정에서 새로이 발견된 개량 신기술 (또는 생산방식) 은 즉각적으로 채택될 것$\lrcorner$이라는 가설을 완화함으로써, 보다 현실에 대한 해석력과 일반성 면에서 개선된 모델을 제시하는 데 있다. 이를 위하여 제시된 모델은 Muth 교수의 탐색이론모델에 두가지 변수를 더함으로써 확장하여 만든 모델이다. 이 두 변수는 신기술의 채택 (또는 획득)을 위하여 지불하여야 하는 투자비변수와 탐색과정을 통하여 발견은 되었으나 아직 채택은 되지 않은, 유보상태 신기술의 운영비용 변수(또는 수익성변수)등이다. 이 모델의 내용은, 생산성향상은 신기술이 구현된 (embodied) 장비 (equipment)를 사용함으로써 실현되며, 따라서 창의적 활동의 이득은 이들 장비에 대한 투자행위로서 실현된다는 것이다. 이 모델은 보다 나은 신기술이 또 발견될 것이라는 기대 하에, 현재 발견된 최신기술을 채택하지 않는 투자지연현상을 예측.설명해 주며 따라서 이로 인한 기술적 비효율성의 존재이유를 제시한다. 또한 이 모델은 생산성 향상곡선의 초기굴곡현상, 정체현상, 그리고 도약현상 등을 모두 설명해 준다.

• Korean System Dynamics Review
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• v.16 no.3
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• pp.97-107
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• 2015

본 논문은 최근 다양한 사회 분야에 있어서 IT 기술이 적용되는 과정을 SD 모델링 방식을 사용하여 연구한 경험과 발견을 서술하고자 한다. 모델의 초기 단계에서 우리는 다양한 사회 분야마다 다른 SD 모델을 만들 것이냐 아니면 기본적으로 유사한 모델 구조를 취할 것이냐를 선택해야 했다. 사회 분야마다 다른 구조의 SD 모델을 만들면, 상호간의 구조와 시뮬레이션 결과를 비교하기 어렵다. 하지만 상호 모델 구조를 유사하게 구축하려고 하니, 서로 다른 모델링 팀들간의 의사소통에 노력과 시간 소비가 지나치게 커져 갔다. 이러한 어려움을 극복하기 위하여 본 연구에서는 시스템 다이내믹스 모델링에도 시스템 사고의 원형적 피드백 루프에서와 같은 원형적 SD 모델을 만들고, 이를 사회 각 분야에 적용하는 방식을 취하고자 하였다. 먼저 최근 IT 기술 발전을 이끌어 가는 핵심적인 요소로서 클라우드 컴퓨팅, 스마트 기기, 사물 인터넷을 선정하고 이들간의 상호 관계성을 표현하는 SD 모델을 만들었다. 이를 원형(archetype)으로 하여, 교육, 의료, 원격 근무 등 사회 각 분야의 IT 확산 과정에 적용하여 모델링을 하고 시뮬레이션을 하여 상호 비교하면서 정책 시사점을 논의할 수 있었다. 본 논문에서는 이 중에서 원격 근무(smart work)에 관한 적용 사례를 제시함으로써, SD 모델링에 있어서 원형적 접근 방법의 가능성을 탐색한다.

• Journal of the Korean Society of Propulsion Engineers
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• v.20 no.2
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• pp.56-66
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• 2016

Robustness is essential for model based FDI (Fault Detection and Isolation) and it is inevitable to have modeling errors and sensor signal noises during the process of FDI. This study suggests an improved method by applying NARX (Nonlinear Auto Regressive eXogenous) model and Kalman estimator in order to cope with problems caused by linear model errors and sensor signal noises in the process of fault diagnoses. Fault decision is made by the probability of the trend of gradually accumulated errors applying Fuzzy logic, which are robust to instantaneous sensor signal noises. Reliability of fault diagnosis is verified under various fault simulations.

• Asia Marketing Journal
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• v.11 no.1
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• pp.39-72
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• 2009

With the growing importance of accountability, it is getting necessary to test the impact of marketing expenditure on marketing performance. Including recent ROM, we can find a few researches about marketing accountability. But there are a few problems about definitions and metric of marketing expenditure and marketing performance. Therefore, by defining and analyzing the impact of marketing expenditure on marketing performance, we are going to set the classification scheme of marketing expenditure and marketing performance. Based on research findings, new definitions and metrics are proposed as follows. First, we suggest the classification scheme of marketing expenditure. Marketing expenditure is defined as expense accounts in the balance sheet for doing marketing tasks. Marketing expenditures includes many accounts, for example, marketing research, advertising, sales promotion, foreign market development, physical distribution, after services. Among these marketing investment, advertising expenses have a positive effect on marketing performance. Second, we suggest the classification scheme of marketing performance. Already, marketing performance has been defined as financial metrics, customer metrics, market metrics, and corporate social responsibility. But, in this study, we find that the process model is not relevant for explaining association between the performance metrics. The process model is a virtuous cycle: "customer metrics→market metrics→financial metrics→firm valuation metrics." But, in this study, it is not supported or a little significant association between these metrics. Based on these results, we suggest the balance model or flower model as the classification scheme of marketing performance.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.4
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• pp.282-290
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• 2013

Biophysical and biochemical processes through which crops interact with the atmosphere have been simulated using land surface models and crop growth models. The Noah Multi Physics (MP) model and the CERES-Rice model, which are a land surface model, and a crop growth model, respectively, were used to simulate and compare rice growth and evapotranspiration (ET) in the areas near Haenam flux tower in Korea. Simulations using these models were performed from 2003 to 2012 during which flux measurements were obtained at the Haenam site. The Noah MP model failed to simulate the pattern of temporal change in leaf area index (LAI) after heading. The simulated aboveground biomass with the Noah MP model was underestimated by about 10% of the actual biomass. The ET simulated with the Noah MP model was as low as 21% of those with the CERES-Rice model. In comparison with actual ET measured at Haenam flux site, the root mean square error (RMSE) of the Noah MP model was 1.8 times larger than that of the CERES-Rice model. The Noah MP model seems to show less reliable simulation of crop growth and ET due to simplified phenology processes and assimilates partitioning compared with the CERES-Rice model. When ET was adjusted by the ratio between leaf biomass simulated using CERES-Rice model and Noah MP model, however, the RMSE of ET was reduced by 30%. This suggests that an improvement of the Noah MP model in representing rice growth in paddy fields would allow more reliable simulation of matter and energy fluxes.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.1
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• pp.115-127
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• 2024

This research aimed to construct models with various structures based on the Transformer module and to perform land cover classification, thereby examining the applicability of the Transformer module. For the classification of land cover, the Unet model, which has a CNN structure, was selected as the base model, and a total of four deep learning models were constructed by combining both the encoder and decoder parts with the Transformer module. During the training process of the deep learning models, the training was repeated 10 times under the same conditions to evaluate the generalization performance. The evaluation of the classification accuracy of the deep learning models showed that the Model D, which utilized the Transformer module in both the encoder and decoder structures, achieved the highest overall accuracy with an average of approximately 89.4% and a Kappa coefficient average of about 73.2%. In terms of training time, models based on CNN were the most efficient. however, the use of Transformer-based models resulted in an average improvement of 0.5% in classification accuracy based on the Kappa coefficient. It is considered necessary to refine the model by considering various variables such as adjusting hyperparameters and image patch sizes during the integration process with CNN models. A common issue identified in all models during the land cover classification process was the difficulty in detecting small-scale objects. To improve this misclassification phenomenon, it is deemed necessary to explore the use of high-resolution input data and integrate multidimensional data that includes terrain and texture information.

• Computational Structural Engineering
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• v.5 no.4
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• pp.13-23
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• 1992

본 소고는 철근콘크리트 구조물에 관련된 현재의 실험적, 해석적 연구의 수준을 정리 요약한 것으로서 이력모델에 따른 철근콘크리트 구조물의 응답과 모델의 선택시에 빈번히 만나게 되는 문제점 및 해석시 응답모델의 선택 등에 대해 기술하였다. 실제적으로 R/C 구조물의 비선형 이력모델은 그 범위가 매우 넓고 다양하기 때문에 일률적으로 설명하기가 매우 어려운 점이 있다. 여기서는 철근콘크리트 구조물의 이력모델의 종류 및 범위에 대하여 소개하고 그 특성 및 형성과정에 대해 간략하게 설명하기로 한다.