• Korean Management Science Review
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• v.11 no.2
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• pp.43-63
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• 1994

A new model management framework is proposed to accommodate wide-spreading algebraic modeling languages (AMLs), and to facilitate a full range of model manipulation functions. To incorporate different modeling conventions of the leading AMLs (AMPL, GAMS, and SML) homogeneously, generic model concepts are introduced as a conceptual basis and are embodied by the structural and operational constructs of an Object-Oriented Database Management System(ODBMS), enabling the framework to consolidate components of DSSs(database, modelbase, and associated solvers) in a single formalism effectively. Empowered by a database query language, the new model management framework can provide uniform model management commands to models represented in different AMLs, and effectively facilitate integration of the DSS components. A prototype system of the framework has been developed on a commercial ODBMS, ObjectStore, and a C++ programming language.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.11
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• pp.2175-2184
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• 2009

This paper describes operational analysis results of the DC micro-grid using detailed model of distributed generation. Detailed model of wind power generation, photo-voltaic generation, fuel-cell generation was implemented with the user-defined model of PSCAD/EMTDC software that is coded with C-language. The operation analysis was carried out using PSCAD/EMTDC software, in which the power circuit is implemented by built-in model and the controller is modelled by user-defined model that is also coded with C-language. Various simulation results confirm that the DC micro-grid can operate without any problem in both the interconnected mode and the islanded mode. The operation analysis result confirms that the DC micro-grid make it feasible to provide power to the load stably. And it can be utilize to develop the actual system design and building.

• International Journal of Contents
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• v.15 no.1
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• pp.39-51
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• 2019

Spontaneous speech provides rich information defining the linguistic characteristics of individuals. As such, computational analysis of speech would enhance the efficiency involved in evaluating patients' speech. This study aims to provide a method to differentiate the persons with and without aphasia based on language usage. Ten aphasic patients and their counterpart normal controls participated, and they were all tasked to describe a set of given words. Their utterances were linguistically processed and compared to each other. Computational analyses from PCA (Principle Component Analysis) to machine learning were conducted to select the relevant linguistic features, and consequently to classify the two groups based on the features selected. It was found that functional words, not content words, were the main differentiator of the two groups. The most viable discriminators were demonstratives, function words, sentence final endings, and postpositions. The machine learning classification model was found to be quite accurate (90%), and to impressively be stable. This study is noteworthy as it is the first attempt that uses computational analysis to characterize the word usage patterns in Korean aphasic patients, thereby discriminating from the normal group.

• The Journal of the Acoustical Society of Korea
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• v.27 no.8
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• pp.435-442
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• 2008

The n-gram model is appropriate for languages, such as English, in which the word-order is grammatically rigid. However, it is not suitable for Korean in which the word-order is relatively free. Previous work proposed a twoply HMM that reflected the characteristics of Korean but failed to reflect word-order structures among words. In this paper, we define a new segment unit which combines two words in order to reflect the characteristic of word-order among adjacent words that appear in verbal morphemes. Moreover, we propose a two-path language model that estimates probabilities depending on the context based on the proposed segment unit. Experimental results show that the proposed two-path language model yields 25.68% perplexity improvement compared to the previous Korean language models and reduces 94.03% perplexity for the prediction of verbal morphemes where words are combined.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.570-578
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• 2003

Maximum entropy models are promising candidates for natural language modeling. However, there are two major hurdles in applying maximum entropy models to real-life language problems, such as prepositional phrase attachment: feature selection and high computational complexity. In this paper, we propose a maximum entropy boosting model to overcome these limitations and the problem of imbalanced data in natural language resources, and apply it to prepositional phrase (PP) attachment and part-of-speech (POS) tagging. According to the experimental results on Wall Street Journal corpus, the model shows 84.3% of accuracy for PP attachment and 96.78% of accuracy for POS tagging that are close to the state-of-the-art performance of these tasks only with small efforts of modeling.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.181-185
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• 2008

Recently, the Virtual Reality(VR) became one of the most powerful tools in making media files. In the field of engineering, while it is increasing to use 3D CAD model in the process of design to manufacturing, the VR is not popular in comparison with media business. XVL(eXtensible Virtual Reality Markup Language) is one of XML(eXtensible Markup Language) which is a standard web media language. XVL provides the connection between 3D CAD data and virtual reality, and it can be easily published through internet for the engineering purpose. In this study, a web based VR model for major components in a nuclear power plant has been developed by using XVL and corresponding 3D CAD data. The proposed model is expected to be used in the engineering field to cooperate among experts, and also, it will provide more plausible explanation to ordinary people.

• Language and Information
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• v.8 no.1
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• pp.163-182
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• 2004

Since metaphor was proposed to be a matter of thought instead of language over two decades ago, the research in this area has made most of its progress by the cognitivists. For the cognitivists represented by Lakoff, metaphor is not a mere poetic or rhetoric device, but is central to our everyday language. Furthermore, according to them, we categorize the world and break it into concepts mainly through metaphors, and truth conditions simply cannot account for metaphor. However, this cognitivists' view has been severely counterattacked by the truth-conditional semanticists. Their main criticism is that the cognitivists do not provide a way to go from our internal representations to the outside world. It is also criticized that the cognitive theory of metaphor as cross-conceptual domain mappings is too broad and general, and that they do not explain why a particular metaphorical expression should be subsumed under one mapping rather than another mapping, i.e., their schemes and structural relations are not predictive. In this context, the purpose of this paper is to propose a model for metaphor interpretation that combines the virtues of the two opposite views of metaphor. Truth-conditional semantics cannot ignore cognitive aspects of language, so-called states of affairs or mental representations, while cognitive theories cannot neglect vigorous representation of meaning with objective reality. This paper will try to present a preliminary outline of this combining model.

• Journal of the Korean Statistical Society
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• v.36 no.1
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• pp.31-55
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• 2007

R is an open source language for statistical computing and graphics based on the ACM software award-winning S language. R is widely used for data analysis and has become a major vehicle for making available new statistical methodology. This paper presents an overview of the design philosophy and the development model for R, reviews the basic capabilities of the system, and outlines some current projects that will influence future developments of R.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.7
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• pp.71-80
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• 1999

Sign-language communication can be a useful way of exchanging message between people who using different languages. In this paper, we report an experimental survey on the construction of a Korean-Japanese sign-language communication system using 3D model. For real-time communication, we introduced an intelligent communication method and built the system as a client-server architecture on the Internet. A character model is stored previously in the clients and a series of animation parameters are sent instead of real image data. The input-sentence is converted into a series of parameters of Korean sign language or Japanese sign language at server. The parameters are transmitted to clients and used for generating the animation. We also employ the emotional expressions, variable frames allocation method, and a cubic spline interpolation for the purpose of enhancing the reality of animation. The proposed system is implemented with Visual $C^{++}$ and Open Inventor library on Windows platform. Experimental results show a possibility that the system could be used as a non-verbal communication means beyond the linguistic barrier.

• Journal of Korean language education
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• v.28 no.2
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• pp.61-88
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• 2017

This paper seeks to use case studies of training programs for teachers at US K-12 schools to provide a model for developing training programs in South Korea for Korean language teachers overseas, and to consider directions for the future. Toward the end, we review examples of professional development programs for Korean language instructors at US K-12 schools that we have developed and conducted between 2011 and 2016. By comparing these programs with the results of post-program assessments, we explore ways of improving those programs. To respect teachers' wishes, these training programs have attempted to strike a balance between cultural and linguistic education while focusing more on workshops, debates, and field trips than on theoretical lectures. The difficulty of operating such programs is the difference in the teachers' individual circumstances and educational context, which necessitates giving teachers an opportunity to discuss the content of the program and find ways to apply it to their own circumstances. To resolve such difficulties, the training programs that we develop should avoid predetermined curriculums and should not be focused on simple drills or the trainer. Instead, these programs should take the approach of proactively incorporating contents desired by the participating teachers by starting with the situations, needs, and tasks of each of those teachers.