• International Journal of Advanced Culture Technology
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• v.6 no.2
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• pp.100-106
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• 2018

Sometimes, literary therapy is to create an abscission layer at the mind and remove the signifier of love, by the abscission layer. The purpose of this study is to reveal the mechanism of literary therapy by mutation in human-created sentences and to activate literary therapy. In Gosijo, the abscission layer of Seo Gyeongdok's mind is present in the layer of the "falling leaf" of the his Sijo's last sentence, and the abscission layer of Hwang Jin-yi's mind exists in the layer of the "falling leaf" of the her Sijo's last sentence. The "falling leaf" created by the abscission layer of Seo Gyeongdok's sentence acts as an action potential to the nervous system of Hwang Jin-yi. In Hwang Jin-yi's Sijo, the abscission layer is also activated, forming a "leaf". Hwang Jin-yi's Sijo constructs a new sensory layer that is extended and mutated more than the meaning of space between lines of Seo Gyeongdok's Sijo. In her Sijo, Hwang Jin-yi twists and twists Seo Gyeongdok's sentences to squeeze the sound. She accepts the Seo Gyeongdok's sentences and twists in the first sentence and twists out of the second sentence once more to produce the mutation in the last sentence. As a result of her sentence twist, Seo Kyung-duk's visual sense of "falling leaf" is mutated into a "falling leaf's sound" of auditory sense. This mutation process works as a healing mechanism in the human body. If this study will continue in the future, it will be possible to activate literary therapy by Sijo.

• 한국게임학회지
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• v.8 no.1
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• pp.32-38
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• 2011

The help or guide sentences of educational math games which use mathematical statements need to represent graphical forms for the learners of the game generation whose cognitive style is graphic first. In this paper, we proposed an object-based visual representation method for mathematical statements. It has object-based description rules to use graphical symbols and mathematical symbols with text words. It is easy to describe or to understand accurately mathematical meaning and is also fast for learners to read for understanding. The proposed method is good for learners of the game generation to get the help as scaffolding for learning math by educational games.

• Phonetics and Speech Sciences
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• v.3 no.3
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• pp.173-179
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• 2011

The present study was performed to investigate the intelligibility of voice disorder patients by providing the various background noise levels. Four sets of 12-sentence-stimuli produced by 11 voice disorder patients were prepared, and 5 minute-news from radio broadcasting studio were used as a background noise. 30 listeners assigned intelligibility score of each sentence with visual analog scale. Each set of sentences was provided with 20dB, 10dB, 0dB noise (same intensity with stimuli), and, finally, with no noise. As results, as background noise level increased, intelligibility scores were lowered with statistical significance. Even though in the same severity, more loud background noise showed much lower scores than less loud noise. When 10dB noise was provided, intelligibility scores showed the biggest difference among the degree of severity.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.2 no.1
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• pp.35-43
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• 2009

In this paper, we introduce a reading training program offering visual-auditory cue with noise cancellation function (RT program) developed by us. The RT program provides some training sentences with visual-auditory cues. Motor speech disorder patients can use the visual and/or auditory cues for reading training. To provide convenient estimation of training result, we developed a noise cancellation algorithm. The function of the algorithm is to remove noise and auditory-cues which are recorded with reading speech at the same time while patient read the sentences in PC monitor. In addition, we developed a function for finding out the first starting time of reading sound after a patient sees a sentence and begins to read the sentence. The recorded speeches are acquired from six people(three male, three female) in four noisy environments (interior noise, white noise, car interior noise, babble noise). We evaluated the timing error for starting time between original recorded speech and processed speech in condition of executing noise cancellation function and not executing. The timing error was improved as much as $4.847{\pm}2.4235[ms]$ as the effect of noise cancellation. It is expected that the developed RT program helps motor speech disorder patient in reading training and symptom evaluation.

• Speech Sciences
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• v.8 no.4
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• pp.75-86
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• 2001

This study explored the effectiveness of a hierarchical treatment of aphasic perseveration (TAP) program in a Korean client with transcortical sensory aphasia. The subject with 52% perserveration score (Korean version of Boston Naming Test : K-BNT) was 44 year-old female with MCA (Middle cerebral artery) infarction. The experimental design used was an alternating treatment design with the hierarchical TAP and conventional audio-visual stimulation. The frequency of occurrence of perseverative behaviors and correct response in naming performance were analyzed and compared. It was claimed that the hierarchical TAP was more effective in naming performance than conventional audio-visual stimulation in terms of correct naming response. The frequency of occurrence of perseverative behaviors was lower in hierarchical TAP but the difference was relatively small. Unlike in English, sentence completion task was no longer stimulable while unison speech was very stimulable among the specific strategies of TAP program in Korean. Therefore, it could be said that TAP is language-dependent.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.359-362
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• 2020

본 연구에서는 설명 문장 생성을 통한 해석 가능한 시각적 질의응답 모델을 설계하고 학습 방법을 제시한다. 설명 문장은 시각적 질의응답 모델이 응답을 예측하는 데에 필요한 이미지 및 질문 정보와 적절한 논리적인 정보의 조합 및 정답 추론 과정이 함의되어 있을 것으로 기대한다. 설명 문장 생성 과정이 포함된 시각적 질의응답의 기본적인 모델을 기반으로 여러 가지 학습방법을 통해 설명 문장 생성 과정과 응답 예측 과정간의 상호관계를 분석한다. 이러한 상호작용을 적극적으로 활용할 수 있는 보다 개선 시각적 질의응답 모델을 제안한다. 또한 학습한 결과를 바탕으로 설명 문장의 특성을 활용하여 시각적 질의응답 추론 과정을 개선함으로써 시각적 질의응답 모델의 발전 방향을 논의한다. 본 실험을 통해서 응답 예측에 적절한 설명 문장을 제시하는 해석 가능한 시각적 질의응답 모델을 제공한다.

• Speech Sciences
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• v.5 no.1
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• pp.49-62
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• 1999

This study is concerned with the educational program Visual Analysis Tool (VAT) for sound development for foreign intonation using personal computer. The VAT can run on IBM-PC 386 compatible or higher. It shows the spectrogram, waveform, intensity and the pitch contour. The system can work freely on either waveform zoom in-out or the documentation of measured value. In this paper, intensity and pitch contour information were used. Twelve French sentences were recorded from a French conversational tape. And three Korean participated in this study. They spoke out twelve sentences repeatly and trid to make the same pitch contour - by visually matching their pitcgh contour to the native speaker's. A sentences were recorded again when the participants themselves became familiar with intonation, intensity and pauses. The difference of pitch contour(rising or falling), pitch value, energy, total duration of sentences and the boundary of rhythmic group between native speaker's and theirs before and after training were compared. The results were as following: 1) In a declarative sentence: a native speaker's general pitch contour falls at the end of sentences. But the participant's pitch contours were flat before training. 2) In an interrogative: the native speaker made his pitch contours it rise at the end of sentences with the exception of wh-questions (qu'est-ce que) and a pitch value varied a greath. In the interrogative 'S + V' form sentences, we found the pitch contour rose higher in comparison to other sentences and it varied a great deal. 3) In an exclamatory sentence: the pitch contour looked like a shape of a mountain. But the participants could not make it fall before or after training.

• Educational Technology International
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• v.16 no.2
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• pp.141-166
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• 2015

The purpose of this study was to examine the effects of using visual stimulation and gesture, namely embodied language learning, on learning achievement and learner's course interest in the EFL classroom. To investigate the effectiveness of the proposed purpose, thirty two third-grade elementary school students participated and were assigned into four English learning class conditions (i.e., using animated graphic and gestures condition, using only animated graphic condition, using still pictures and gesture condition, and control condition). The research questions for this study are addressed below: (1) What differences are there in post and delayed learning achievement between imitating gesture group and non-imitating one and between animated graphic group and still picture one? (2) What differences are there in course interest between imitating gesture group and non-imitating one and between animated graphic group and still picture one? The Embodiment-based English learning system for this study was designed by using Microsoft's Kinect sensing devices. The results of this study revealed that students of imitating gesture group memorized and retained better words and sentence structure than those of the other groups. As for learner's course interest measurement, imitating gesture group showed a highly positive response to attention, relevance, and satisfaction for curriculum and using animated graphic influenced satisfaction as well. This finding can be attributed to the embodied cognition, which proposes that the body and the mind are inseparable in the constitution of cognition and thus students using visual simulation and imitating related gesture regard the embodied language learning approach more satisfactory and acceptable than the conventional ones.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.4958-4970
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• 2019

As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration. However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network. In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network. Especially, our model focuses the Korean language. It consists of two modules: sentence generator and classification. The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation. The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively. We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.447-454
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• 2005

Generally, Diagram Systems related XML document are designed for certain purpose. It is also difficult to create DML document, because there is no definition of diagram component. In this paper, we design and implement the diagram system to execute the XML document. This diagram system defines the diagram component with WYSIWIG concept ,md it is designed to generate DML document automatically. Therefore, it is possible to develop diagram efficiently and maintain consistency by definition of syntax about diagram with DTD. And this system uses the concept of VPL(Visual Programming Language) to check syntax and semantic about diagram sentence. Though this system, DML documents can be generated easily, and it can also check syntax and perform semantic.