• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.53-56
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• 2003

In this paper, we propose a new method which generates the trajectory of the mouth shape for the characters by the user inputs. It is based on the character at a basis syllable and can be suitable to the mouth shape generation. In this paper, we understand the principle of the Korean language creation and find the similarity for the form of the mouth shape and select it as a basic syllable. We also consider the articulation of this phoneme for it and create a new mouth shape trajectory and apply at face of an 3D avatar.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.4
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• pp.564-569
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• 1994

This paper presents an expert system for the fault section estimation and fault diagnosis in power transmission systems, which also has random event generation function for the purpose of operator training or educational experiment. The expert system is developed using an artificial intelligence language.

• Journal of KIISE:Software and Applications
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• v.27 no.5
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• pp.473-487
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• 2000

SDL-92, the language for specification and description of system, has held on to the communication method that based on processes and signals in the adoption of object-oriented concept to embrace the previous documents of system specification and description and users. It has caused problems, not only the absence of corresponding concepts in automatic generation to object-oriented language program based on method and object, but also some side effects accompanied by them like visibility and communication method. So, in this paper, we present a general object-oriented language model, which based on method and object, make a study of problems in the transformation fromSDL-92 to proposed model, and then propose conceptual transformation methods to solve them. The proposed transformation method can utilize the built-in parallelism in objects and guarantee the compiler level portability in translated program by providing translation into the syntax of target language.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.5
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• pp.592-601
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• 2016

The recurrent neural network (RNN) is a deep learning model which is suitable to sequential or length-variable data. The Long Short-Term Memory (LSTM) mitigates the vanishing gradient problem of RNNs so that LSTM can maintain the long-term dependency among the constituents of the given input sequence. In this paper, we propose a LSTM based language model which can predict following words of a given incomplete sentence to generate a complete sentence. To evaluate our method, we trained our model using multiple Korean corpora then generated the incomplete part of Korean sentences. The result shows that our language model was able to generate the fluent Korean sentences. We also show that the word based model generated better sentences compared to the other settings.

• Journal of Korean Neurosurgical Society
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• v.47 no.1
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• pp.17-25
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• 2010

Objective: The focus of this study is brain plasticity associated with semantic aspects of language function in patients with medial temporal lobe epilepsy (mTLE) Methods: Using longitudinal functional magnetic resonance imaging (fMRI), patterns of brain activation were observed in twelve left and seven right unilateral mTLE patients during a word-generation task relative to a pseudo-word reading task before and after anterior temporal section surgery. Results: No differences were observed in precentral activations in patients relative to normal controls (n = 12), and surgery did not alter the phonological-associated activations. The two mTLE patient groups showed left inferior prefrontal activations associated with semantic processing (word-generation>pseudo-word reading), as did control subjects. The amount of semantic-associated activation in the left inferior prefrontal region was negatively correlated with epilepsy duration in both patient groups. Following temporal resection, semantic-specific activations in inferior prefrontal region became more bilateral in left mTLE patients, but more left-lateralized in right mTLE patients. The longer the duration of epilepsy in the patients, the larger the increase in the left inferior prefrontal semantic-associated activation after surgery in both patient groups. Semantic activation of the intact hippocampus, which had been negatively correlated with seizure frequency, normalized after the epileptic side was removed. Conclusion: These results indicate alternation of semantic language network related to recruitment of left inferior prefrontal cortex and functional recovery of the hippocampus contralateral to the epileptogenic side, suggesting an intra- and inter-hemispheric reorganization following surgery.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.327-336
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• 2008

Many XML-compliant UIDLs(User Interface Description Languages) have been developed to specify user interfaces. Although previous UIDLs are helpful to describe user interfaces of web and desktop applications, they are not available of developing UI of mobile applications. In this paper, in order to effectively specify user interfaces of MIDlet which is application model on J2ME(Java Platform, Micro Edition), we propose MIML(Midlet Interface Markup Language) and present transformation rules to generate source codes from MIML. Further, we enhance the usability of MIML through J2MERenderer which is a tool using presented rules. The proposed method can specify user interfaces of mobile applications and allow developers to keep productivity and consistency in development phase.

• English Language & Literature Teaching
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• v.8 no.2
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• pp.151-176
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• 2003

Motivation and learning strategies, some of the important factors affecting language learning, have mostly been studied with reference to their relationship in terms of proficiency. This study investigated motivation and learning strategies and their relationship in order to find the inward predisposition of learners. Data was collected from 200 university students in Taejon and Chungnam province, Korea language learning strategies were measured by the Strategy Inventory for Language Learning(SILL), and motivation by the Attitude / Motivation Test Battery(AMTB), with adaptations for Koreans. The detailed analysis of the data Indicated that Korean university students were more motivated to learn English for a practical goal than a formal one. They had a strong willingness to learn but showed 'the tendency of the new generation' of choosing the easiest and most convenient ways in studying English in terms of motivational intensity and strategy use. Findings imply that there have to be some changes and improvements in the deep-rooted classroom teaching methods. A systematic device is needed to induce students to be autonomous learners, providing them with a variety of activities suitable for their purposes and levels, as in opportunities of contacting native speakers, multi-media language labs, the Internet etc.

• Annual Conference on Human and Language Technology
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• 2006.10e
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• pp.15-21
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• 2006

본 논문에서는 올바른 한국어 생활과 한국어 실력 향상을 위하여, 한국어 어휘에 대한 풍부한 정보를 담고 있는 한국어사전, 사용자 어휘지능망(User-Word Intelligent Network : U-WIN)등의 언어자원을 이용한 자동문제생성기술을 소개하고, 이를 이용한 한국어 어휘학습시스템을 제시한다. 대부분의 학습시스템에서 사용하는 문제 은행식 출제 방식의 문제점을 해소할 수 있는 하나의 방법으로서, 기존의 한국어 어휘문제의 문항을 분석하여 8가지 문제 유형으로 재편성하고, 각 유형별 자동 문제 생성패턴에 따라 언어자원이 가지고 있는 한국어 어휘의 형태적 정보, 의미적 정보를 이용하여 한국어 어휘 문제를 자동 출제하는 한국어 어휘학습시스템을 구현하였다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.454-460
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• 2023

대규모 언어 모델(Large Language Models, LLM)의 발전과 더불어 대량의 학습 데이터로부터 기인한 LLM의 편향성에 관심이 집중하고 있다. 최근 선행 연구들에서는 LLM이 이러한 경향성을 탈피하고 다양한 언어 패턴을 생성하게 하기 위하여 LLM에 여러가지 페르소나를 부여하는 방법을 제안하고 있다. 일부에서는 사람의 성격을 설명하는 성격 5 요인 이론(Big 5)을 이용하여 LLM에 다양한 성격 특성을 가진 페르소나를 부여하는 방법을 제안하였고, 페르소나 간의 성격의 차이가 다양한 양상의 언어 사용 패턴을 이끌어낼 수 있음을 보였다. 그러나 제한된 횟수의 입력만으로 목표하는 성격의 페르소나를 생성하려 한 기존 연구들은 세밀히 서로 다른 성격을 가진 페르소나를 생성하는 데에 한계가 있었다. 본 연구에서는 페르소나 부여 과정에서 피드백을 반복하여 제공함으로써 세세한 성격의 차이를 가진 페르소나를 생성하는 방법론을 제안한다. 본 연구의 실험과 분석을 통해, 제안하는 방법론으로 형성된 성격 페르소나가 다양한 언어 패턴을 효과적으로 만들어 낼 수 있음을 확인했다.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.257-260
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• 2004

This paper describes the software download framework for SDR(Software Defined Radio). SDR is expected to solve the compatibility problem among various mobile communication standards so that people can use the same device for different wireless network. We integrated the SDR software download process into Jini architecture, and modified Jini's several functions. We implemented this proposed framework on a Linux and windows operating systems with Java programming language. With Java platform, we can easily transfer this framework into hand-held devices.