• Journal of Biomedical Engineering Research
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• v.24 no.4
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• pp.241-246
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• 2003

To evaluate the usefulness if functional MR imaging(MRI) for the determination of language dominance system and to assess differences in the visual and auditory instrument language generation task according to activation task or activated area. Functional maps of the language area were obtained during visual and auditory instructions in word generation tasks in 6 healthy volunteer with right-handness were examined on a 1.5T scanner and the EPI BOLD technique, and three pulse sequence technique get of the true axial planes. Both task consisted of 96 phases including 6 activations and rests contents. Postprocessing were done on MRDx program by using cross correlation method. Two task compare the blain activation area surveyed of 1anguage lateralization index. To evaluated of the detection rates of Broca. Wernicke, pre-frontal lobe, Supplementary Motor Area (SMA) and pre-motor cortex areas and the differences of language lateraliaztion among two word generation task To lateralization index survey in 1anguage area on right and left in brain get to activation area pixel in brain. Compared to visual and auditory instrument task in the language areas get to the lateralization index. Two language generation task high detection rates of Broca and Wernicke areas. The visual instruction no detected in the auditory area, and auditory instruction no detected in the visual area. There was statistics significant different of them among language generation task. 1'his indicated that language area obtained image of the brain functional MR imaging usefulness in the visual and auditory task instrument.

• Proceedings of the KIEE Conference
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• 1987.07b
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• pp.1577-1580
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• 1987

This paper proposes a gate and functional level logic simulator which can be run on XENIX O.S. The simulator has hierarchical structure including Hardware Description Language compiler, Waveform Description Language compiler, and Simulation Command Language compiler. The Hardware Description Language compiler generates data structure composed of gate structure, wire structure, condition structure, and event structure. Simulation algorithm is composed of selective trace and event-driven methods. To improve simulation speed, Cross Referenced Linked List Structure ia defined in building the data structure of circuits.

• Journal of Educational Research in Mathematics
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• v.13 no.1
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• pp.13-28
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• 2003

Practice of proof is considered in, the view of language and meta-mathematics, recognizing the role of proof that is the means of communication and development of mathematical understanding. Linguistic components in proof texts are symbol, verbal language and visual text, and contain the implicit knowledge in the meta-mathematics view. This study investigates the functions of linguistic elements according to Halliday's functional grammar and the rhetoric skills in proof texts in math textbook, teacher's note, and student's written text. We need to inquire into the aspects of language for mathematics learning process and the understanding and use of students' language.

• Investigative Magnetic Resonance Imaging
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• v.3 no.1
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• pp.53-59
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• 1999

Purpose : To evaluate the usefulness of functional MR imaging (fMRI) for language mapping and determination of language lateralization. Materials and Methods : Functional maps of the language area were obtained during word generation tasks and decision task in ten volunteers (7 right handed, 3 left-handed). MR examinations were performed at 1.5T scanner with EPI BOLD technique. Each task consisted of three resting periods and two activation periods with each period of 30 seconds. Total acquisition time was 162 sec. SPM program was used for the postprocessing of images. Statistical comparisons were performed by using t-statistics on a pixel-by- pixel basis after global normalization by ANCOVA. Activation areas were topographically analyzed (p>0.001) and activated pixels in each hemisphere were compared quantitatively by lateralization index. Results : Significant activation signals were demonstrated in 9 of 10 volunteers. Activation signals were found in the premotor and motor cortices, the inferior frontal, inferior parietal, and mid-temporal lobes during stimulation tasks. In the right handed seven volunteers, activation of language areas was lateralized to the left side. Verb generation task produced stronger activation in the language areas and higher value of lateralization index than noun generation task or decision task. Conclusion : fMRI could be a useful non-invasive method for language mapping and determination of language dominance.

• Electronics and Telecommunications Trends
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• v.35 no.3
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• pp.9-19
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• 2020

Recently, a technique for applying a deep learning language model pretrained from a large corpus to fine-tuning for each application task has been widely used as a language processing technology. The pretrained language model shows higher performance and satisfactory generalization performance than existing methods. This paper introduces the major research trends related to deep learning pretrained language models in the field of language processing. We describe in detail the motivations, models, learning methods, and results of the BERT language model that had significant influence on subsequent studies. Subsequently, we introduce the results of language model studies after BERT, focusing on SpanBERT, RoBERTa, ALBERT, BART, and ELECTRA. Finally, we introduce the KorBERT pretrained language model, which shows satisfactory performance in Korean language. In addition, we introduce techniques on how to apply the pretrained language model to Korean (agglutinative) language, which consists of a combination of content and functional morphemes, unlike English (refractive) language whose endings change depending on the application.

• Korean Journal of English Language and Linguistics
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• v.1 no.1
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• pp.59-79
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• 2001

This paper examines syntactic categorial properties of “be” in Korean EFL beginners' utterances. Mainly based upon the acquisition data in Han (2000) and Shin (2000), it proposes that the so-called “S-be-X” construction is a projection of “underdeveloped” functional category F. The projection FP is different from other standard functional categories in that its head is not fully fledged.

• Proceedings of the Korean Society for Language and Information Conference
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• 2002.06a
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• pp.142-152
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• 2002

There have been some notes on the functional unity of rules or conspiracy in Linguistics. In this paper, I show that so-called 'elsewhere condition', first mentioned in phonology, is observed not only in phonology, but also in morphology, syntax, semantics, and pragmatics. And I argue that it is a kind of functional unity of rules or conspiracy in cross-component of linguistic theories. How to handle this in the macro-scopic view of linguist ice is another major issue in further research.

• Language and Information
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• v.8 no.1
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• pp.101-116
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• 2004

This paper proposes a statistical model for the translation of prepositions in English-Korean machine translation. In the proposed model, statistical information acquired from unlabeled Korean corpora is used to choose the best translation from several possible translations. Such information includes functional word-verb co-occurrence information, functional word-verb distance information, and noun-postposition co-occurrence information. The model was evaluated with 443 sentences, each of which has a prepositional phrase, and we attained 71.3% accuracy.

• Journal of Aerospace System Engineering
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• v.9 no.4
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• pp.1-7
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• 2015

The purpose of this research is to develop co-simulation methodology of codes developed in different modeling and simulation environment. We develop aerodynamic FMU(Functional Mock-up Unit) meeting FMI(Functional Mock-up Interface) specification version2 utilizing Legacy FORTRAN aerodynamic code based on unsteady vortex lattice method. It is concluded that making FMU is possible utilizing Legacy code made in any language which can be compiled and linked with object in FMI API coded in C language. This paper explains QTronic's method of using FMU SDK(Software Development Kit) and suggestion for using FORTRAN properly. Finally, we make articulated rotor/aerodynamics co-simulation by integrating aerodynamics FMU and rotor FMU developed by Modelica.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.27-37
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• 2020

In this paper, we propose the methodology based on data-driven approach using Natural Language Processing and Machine Learning for classifying requirements into functional requirements and non-functional requirements. Through the analysis of the results of the requirements classification, we have learned that the trained models derived from requirements classification with data-preprocessing and classification algorithm based on the characteristics and information of existing requirements that used term weights based on TF and IDF outperformed the results that used stemming and stop words to classify the requirements into functional and non-functional requirements. This observation also shows that the term weight calculated without removal of the stemming and stop words influenced the results positively. Furthermore, we investigate an optimized method for the study of classifying software requirements into functional and non-functional requirements.