• Journal of the Korean Institute of Landscape Architecture
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• v.27 no.2
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• pp.95-107
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• 1999

Shamanism is an ancient culture that is also considered as a religious rite by most of people. So, shamanism is an important part of Korean tradition and should be a significant base to the Korean exterior space organization theme. However in the field of Landscape architecture th principle of exterior spacing has not yet clearly been identified as shamanistic. Therefore believe that this study can exhibit a model for the study of shaministic space language and its application to one of Korean's village Namsa. The results of this study are summarized below; 1. Extracted models are Unspecialized· Circular·Coninuous space. These are analyzed on the basis of the shaministic space language. Also shaministic space languages are based with Korean common belief of eternal human identify, circular view of the world. 2. Applying the shamanistic space models to Namsa village shows that shamanistic space models follow the Korean space organization principle. Some area of the village do not apply, because they were built on the structure of the social hierarchy between families or the difference between head households and collateral households. 3. Applying the shamanistic space model to Namsa village shows that the shamanistic space model follows the Korean space organization principle. Therefore can say that Namsa village was built by a shamanistic system that pursued eternal human identity.

• The Transactions of the Korea Information Processing Society
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• v.3 no.6
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• pp.1453-1467
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• 1996

A software development process is regarded as the process of building a series of various models. But developers had no method to verify these models which created subjectively. This paper has adopted initiative of verification tools to an early phase of analysis, whereas the existing verification tools have been used for implementations. This paper has defined a constraint language that expresses disciplines suggested in the system has been built upon the constraint language, which is proven to enhance the quality and consistency of models constructed by object model editor.

• ETRI Journal
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• v.46 no.1
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• pp.82-95
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• 2024

As automated essay scoring (AES) has progressed from handcrafted techniques to deep learning, holistic scoring capabilities have merged. However, specific trait assessment remains a challenge because of the limited depth of earlier methods in modeling dual assessments for holistic and multi-trait tasks. To overcome this challenge, we explore providing comprehensive feedback while modeling the interconnections between holistic and trait representations. We introduce the DualBERT-Trans-CNN model, which combines transformer-based representations with a novel dual-scale bidirectional encoder representations from transformers (BERT) encoding approach at the document-level. By explicitly leveraging multi-trait representations in a multi-task learning (MTL) framework, our DualBERT-Trans-CNN emphasizes the interrelation between holistic and trait-based score predictions, aiming for improved accuracy. For validation, we conducted extensive tests on the ASAP++ and TOEFL11 datasets. Against models of the same MTL setting, ours showed a 2.0% increase in its holistic score. Additionally, compared with single-task learning (STL) models, ours demonstrated a 3.6% enhancement in average multi-trait performance on the ASAP++ dataset.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.141-150
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• 2021

Based on Artificial Intelligence technology, AI-enabled warfare is expected to become the main issue in the future warfare. Natural language processing technology is a core technology of AI technology, and it can significantly contribute to reducing the information burden of underrstanidng reports, information objects and intelligences written in natural language by commanders and staff. In this paper, we propose a Language model-based Multi-source Information Integration (LAMII) framework to reduce the information overload of commanders and support rapid decision-making. The proposed LAMII framework consists of the key steps of representation learning based on language models in self-supervsied way and document integration using autoencoders. In the first step, representation learning that can identify the similar relationship between two heterogeneous sentences is performed using the self-supervised learning technique. In the second step, using the learned model, documents that implies similar contents or topics from multiple sources are found and integrated. At this time, the autoencoder is used to measure the information redundancy of the sentences in order to remove the duplicate sentences. In order to prove the superiority of this paper, we conducted comparison experiments using the language models and the benchmark sets used to evaluate their performance. As a result of the experiment, it was demonstrated that the proposed LAMII framework can effectively predict the similar relationship between heterogeneous sentence compared to other language models.

• Korean Journal of Radiology
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• v.25 no.8
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• pp.687-690
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• 2024

• Korean Journal of Radiology
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• v.25 no.8
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• pp.767-768
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• 2024

• Phonetics and Speech Sciences
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• v.6 no.4
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• pp.27-36
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• 2014

This study provided longitudinal examination of the Chinese learners' acquisition of Korean vowels. Specifically, I examined the Chinese learners' Korean monophthongs /i, e, ɨ, ${\Lambda}$, a, u, o/ that were created at the time of 1 month and 12 months, tried to verify empirically how they learn by dealing with their mother tongue, and Korean vowels through dealing with pattern of the Perceptual Assimilation Model (henceforth PAM) of Best (Best, 1993; 1994; Best & Tyler, 2007) and the Speech Learning Model (henceforth SLM) of Flege (Flege, 1987; Bohn & Flege, 1992, Flege, 1995). As a result, most of the present results are shown to be similarly explained by the PAM and SLM, and the only discrepancy between these two models is found in the 'similar' category of sounds between the learners' native language and the target language. Specifically, the acquisition pattern of /u/ and /o/ in Korean is well accounted for the PAM, but not in the SLM. The SLM did not explain why the Chinese learners had difficulty in acquiring the Korean vowel /u/, because according to the SLM, the vowel /u/ in Chinese (the native language) is matched either to the vowel /u/ or /o/ in Korean (the target language). Namely, there is only a one-to-one matching relationship between the native language and the target language. In contrast, the Chinese learners' difficulty for the Korean vowel /u/ is well accounted for in the PAM in that the Chinese vowel /u/ is matched to the vowel pair /o, u/ in Korean, not the single vowel, /o/ or /u/.

• English Language & Literature Teaching
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• v.17 no.1
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• pp.37-52
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• 2011

The purposes of this study were to review developmental stages of acculturation, to establish dimensions and components of intercultural communicative competence, and to suggest teaching methods in the elementary school based on the dimensions and the components of the stages. In order to achieve these purposes, theoretical research on the nature of intercultural communicative competence and teaching methods of intercultural dimensions and components was carried out in terms of developmental stages of acculturation. The stages of acculturation have relation to cognitive domain, affective domain, and cultural awareness. In the domain of cognitive development, the models such as Cummins (1981), Wong-Fillmore (1983), and Ausubel (1968) were presented. In the affective domain of second language research, the models of Gardener and Lambert (1972), Maslow (1954), and Bloom (1974) were argued. Modifying the models of Ausubel, Cummins, Wong-Fillmore, the dimensions and components of intercultural communicative competence were established. In addition, it was suggested that cultural syllabus and lesson plan based on tourist and survivor stage should be considered.

• English Language & Literature Teaching
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• v.15 no.3
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• pp.105-127
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• 2009

This study investigates effective models of team teaching in Korean middle school classrooms based upon a questionnaire survey and two English listening tests. The data from 349 first year middle school students from 3 different middle schools were collected and compared between team teaching (TT) types in terms of participants' background language learning methods and their opinions about TT. The findings of the present study indicate that students appear to have different opinions about TT according to the TT types. Also the results of the English listening tests between students who took TT and those who didn't take TT show significant differences between TT groups. This study gives both native English teachers (NETs) and Korean English teachers (KETs) the perspectives about effective TT type and the opportunities that both types of teachers could reconsider their TT in order to develop students' English communicative competence more successfully.

• Journal of information and communication convergence engineering
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• v.6 no.1
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• pp.59-63
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• 2008

The methods or algorithms which can accelerate simulation speed became of great importance, as the modeling and simulation methodology for discrete event systems is used in many areas such as model validation/verification and performance evaluation. This paper proposes a tool named, DEVSIF composer. The tool is made of an automated compiled simulation technology and it builds a new composed model which can be executed much fast by composing the component models together. Models are described by our new specification language DEVSIF, which is compatible with object-oriented language and supports representation of a hierarchical model structure. Experimental results demonstrates that DEVSIF composer enhances the simulation speed of a transformed DEVS model 5 times faster than that of the original ones in average.