• Journal of The Korean Society of Agricultural Engineers
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• v.49 no.4
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• pp.73-79
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• 2007

In the evaluation of rural amenity, it is hard to estimate the worth of rural amenity as numerical values. To evaluate the worth of an abstract idea, information measure technique(IMT) can be used. In this research, rural amenity priority assessment model(RAPAM) was developed adapting IMT. To apply the developed model for assessment of rural amenity, an encyclopedia was used as information gathering and utilizing system(IGUS). The application result of the developed model which was compared with the result of survey have similar trend. $R^{2}$ is 0.8539, RMSE is 0.382 and the applicability of RAPAM was proved.

• International Journal of Reliability and Applications
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• v.15 no.1
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• pp.51-64
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• 2014

This paper develops a warranty cost model for complex systems with imperfect repair within a warranty period by addressing a practical case that the first inter-failure interval is longer than any other inter-failure intervals. The product is in its best condition before the first failure if repair is imperfect. After the imperfect repair, other inter-failure intervals which are explained by renewal processes, are stochastically smaller than the first inter-failure interval. Based on this idea, we suggest the failure-interval-failure-criterion model. In this model, we consider two random variables, X and Y where X represents failure intervals and Y represents failure criterion. We also obtain the distribution of the number of failures and conduct the warranty cost analysis. We investigate different types of warranty cost models, reliabilities and other measures for various systems including series-parallel configurations. Several numerical examples are discussed to demonstrate the applicability of the methodologies derived in the paper.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.7
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• pp.729-739
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• 1990

This paper deals with the fault detection problem in uncertain linear/non-linear systems having both undermodelling and noise. A robust fault detection method is presented which accounts for the effects of noise, model mismatch and nonlinearities. The basic idea is to embed the unmodelled dynamics in a stochastic process and to use the nominal model with a predetermined fixed denominator. This allows the input /output relationship to be represented as a linear function of the system parameters and also facilitate the quatification of the effect of noise, model mismatch and linearization errors on parameter estimation by the Bayesian method. Comparisons are made via simulations with traditional fault detection methods which do not account for model mismatch or linearization errors. The new method suggested in this paper is shown to have a marked improvement over traditional methods on a number of simulations, which is a consequence of the fact that the new method explicitly for the effects of undermodelling and linearization errors.

• International Journal of Contents
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• v.1 no.2
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• pp.26-30
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• 2005

According to the fast growth of information on the Internet, it is becoming increasingly difficult to find and organize useful information. To reduce information overload, it needs to exploit automatic text classification for handling enormous documents. Support Vector Machine (SVM) is a model that is calculated as a weighted sum of kernel function outputs. This paper describes a document classifier for web documents in the fields of Information Technology and uses SVM to learn a model, which is constructed from the training sets and its representative terms. The basic idea is to exploit the representative terms meaning distribution in coherent thematic texts of each category by simple statistics methods. Vector-space model is applied to represent documents in the categories by using feature selection scheme based on TFiDF. We apply a category factor which represents effects in category of any term to the feature selection. Experiments show the results of categorization and the correlation of vector length.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.159-168
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• 2021

Detecting cyber-attacks using machine learning or deep learning is being studied and applied widely in network intrusion detection systems. We noticed that the application of deep learning algorithms yielded many good results. However, because each deep learning model has different architecture and characteristics with certain advantages and disadvantages, so those deep learning models are only suitable for specific datasets or features. In this paper, in order to optimize the process of detecting cyber-attacks, we propose the idea of building a new deep learning network model based on the association and combination of individual deep learning models. In particular, based on the architecture of 2 deep learning models: Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM), we combine them into a combined deep learning network for detecting cyber-attacks based on network traffic. The experimental results in Section IV.D have demonstrated that our proposal using the CNN-LSTM deep learning model for detecting cyber-attacks based on network traffic is completely correct because the results of this model are much better than some individual deep learning models on all measures.

• Journal of Elementary Mathematics Education in Korea
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• v.18 no.1
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• pp.83-103
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• 2014

The purpose of this paper is to find a method of measuring mathematical creativity reasonably. In the pursuit of this purpose, we designed four multiple solution tasks that consist of two kinds of open tasks; 'tasks with open solutions' and 'tasks with open answers'. We collected data by conducting an interview with a gifted fifth grade student using the four multiple solution tasks we designed and analyzed mathematical creativity of the student using Leikin's model(2009). Research results show that the mathematical creativity scores of two students who suggest the same solutions in a different order may vary. The more solutions a student suggests, the better score he/she gets. And fluency has a stronger influence on mathematical creativity than flexibility or originality of an idea. Leikin's model does not consider the usefulness nor the elaboration of an idea. Leikin's model is very dependent on the tasks and the mathematical creativity score also varies with each marker.

• Journal of architectural history
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• v.31 no.1
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• pp.77-88
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• 2022

Architecture had played a significant role model in philosophy because the construction of building represented doing philosophy. 'Architecture as metaphor' made it possible that doing philosophy was a kind of construction of thinking and western philosopher considered himself as an architect of idea. As a system of system, architectural analogy gave philosophy a chance to insist himself as a theory of theory. So architecture had always been a privileged model of discourse system and also a fundamental metaphor in philosophy. Because of its original meaning, Architecture as techne could be considered as poiesis, that was the special building(making) in western culture. The archi(arche) - structure(techne) was a ideal model and mechanism of philosophy because with this analogy doing philosophy became a kind of building act to make a logical system of idea. This kind of tradition in philosophy, especially metaphysics, made the characteristics of western philosophy 'architectonic' that implied the meaning of the rational, stable, hierarchical and holistic. But this kind of tradition exposed the problem of philosophy that focused on Identity and excluded the others. The logocentrism of western philosophy was also the limitation of architectonic thinking and its reductionism became a grand monologue which only allowed systematic, rational discourse. Its ideological position Inevitably caused the anti-architectural thinking in modern age as a diverse form of new trend of thinking as like postmodernism or deconstruction. Even Deconstructivism, or 'informe', non-representation in architecture depends upon anti-architectural thinking. Relationship between architecture as metaphor and the building of philosophy is problematique issue.

• Journal of The Korean Association For Science Education
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• v.35 no.6
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• pp.1049-1062
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• 2015

To understand the synergy of collaboration and to apply this understanding to education, an analysis of how a team solves a problem and the sharing of their mental models is needed. This paper analyzed two things qualitatively to find out the source of synergy in a collaborative problem-solving process. First, the sharing contents in team mental model and second, the process of sharing the team mental model. Ten gifted middle school students collaborated to solve an ill-defined problem called sunshine through foliage problem. The gifted students shared the following results after the collaboration: First, scientific concept prior to common idea or the idea that all group members have before the discussions; second, unique individual ideas of group members; and third, created ideas that were not originally in the personal mental model. With created ideas, the team model becomes more than the sum of individuals. According to the results of process analysis, in the process of sharing mental model, the students proposed and shared the most important variable first. This result implied that the analysis of the order of sharing ideas is important as much as finding shared ideas. Also, the result shows that through their collaboration, the gifted students' shared mental model became more refined and expanded as compared to their individual prior mental models. It is recommended that these results can be used to measure shared mental model and develop collaborative learning models for students.

• Journal of architectural history
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• v.14 no.1 s.41
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• pp.151-183
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• 2005

All architecture in the history were based on a certain concept of architectural unit that functioned as a base model of architectural design. As we know, such model was not the same in the East and the West, and therefore, their architectures are not the same. This paper aims to identify how and why such base model of the two cultural area are different. As one way of discussing this issue, the concept of particle and field, as two representative idea of the West and East respectively, the employed. This kind of discussion can not follow the way of scientific verification as method of argument. However, the understanding of such concept of unit model is crucial for the understanding of the architecture of the culture in general. In basic sense, the tradition of Western architecture is rooted in the model of particle, where, architecture is conceived to be as a independent unit standing on earth as if it is a box like object. While, the tradition of Eastern architecture is rooted in the model field, where, architecture is conceived to be a part of field organization. In present days, we are used to the model of particle as if it is the only possible model of architecture. But, in fact, what man need to achieve in their architecture and city, is the balance between the two models.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.57-71
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• 2002

We introduce three types of exponential survival models, such as simple model, change-point model and finite mixture model in this paper. Among these models, in order to choose the best model, the model choice method is proposed using Gelfand and Ghosh(1998)'s idea. Then to avoid the computational difficulties, data augmentation method (Tanner and Wong, 1987) and Gibbs sampler (Gelfand and Smith, 1990) are employed. Our methodology is applied to both simulated data and Stangl (1991)'s On-impramint Hydrochloride data.