• Therapeutic Science for Rehabilitation
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• v.8 no.3
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• pp.69-81
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• 2019

Objective: The purpose of this study was to examine the characteristics of prosody of ambiguous sentences in patients with right hemisphere damage(RHD). Methods: Sentences with each word prosodically focused were used to investigate. Several acoustic parameters such as intensity, F0, and duration were measured to identify characteristics of prosody in patients with lesions in the right hemisphere and normal controls. All speech samples were recorded using the Praat 4.3.14 software. Data were analyzed with the independent sample t-test using SPSS 18.0. Results: The results of this study are as follows: First, intensity of the first syllable of the focus word was different between the two groups in several sentences. Second, F0 was different between the two groups in all sentences. Third, duration was different between the groups in several sentences. Accordingly, prosody were varied and values of acoustic parameters differed due to the focus of utterance. The group with right hemisphere damage showed restricted prosody. Conclusions: Intensity, duration, and F0 are all used as elements of prosody in emphasizing structural and pragmatic meaning, but according to the focus, strength and duration were related to F0. In contrast, F0 has a significant linguistic difference, but there was a significant difference between the RHD and normal people, so F0 can be a discriminatory factor of rhyme evaluation of the right hemisphere damaged and it is necessary to accumulate more strong evidence through future research.

• Archives of design research
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• v.20 no.1 s.69
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• pp.55-64
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• 2007

Non-verbal communications are important because they support and replace verbal communication. Body language of various non-verbal communications is the communication using the body. In animation, expression of body language is very important because characters play an important role in communicating the scenario. Animation has a dual communication structure, different from general communication. One is the communication between the speaker character and the hearer character, the other is the image and the audience, which includes the communication between the speaker character and the hearer character. In this study, we divide the body language from the characters into the discourse-in act and discourse-out act according to this dual structure and classify it into adaptors, emblem, illustrator, regulator, affect display by a functional approach method. Especially, the illustrator is subdivided into pragmatic speech act. Finally, this study analyzes the features of body language in animation and represents animation character's body language for an effective expression of the communications in animation.

• The Journal of the Acoustical Society of Korea
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• v.39 no.6
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• pp.576-584
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• 2020

In order to obtain basic information for using polyvinyl alcohol (PVA) gel as a tissue mimicking phantom for temperature visualization, the temperature change characteristics due to the focused ultrasound were examined for different concentration of PVA. To obtain the basic acoustic characteristics, the speed of sound, the attenuation coefficient, and the density depending on the PVA concentration were measured, and the thermodynamic characteristics, such as thermal conductivity and heat capacity, were measured. The range of temperature rising in the vicinity of the focal point due to the focused ultrasound was observed using a thermochromic film that changes color at 30 degree or more, and the discolored area was obtained by image processing of the recorded image. As the concentration of PVA increases in the given range of 2 wt% ~ 16 wt%, the area that rises above 30 degree inside the gel increases linearly. It is confirmed that the discolored area increases as the power applied to the focused ultrasonic transducer increases. These results showed good agreement with the simulation results using the finite element method.

• Journal of the Korean association of regional geographers
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• v.16 no.4
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• pp.387-399
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• 2010

This study, using Fractal theory, aims to examine the meaning in the aspect of urban spatial structure by reflecting the characteristics of elements organizing the urban space and at the same time measuring the urban form quantitatively. By calculating Fractal Dimension to Cheongju as a target, it conducted comparison and analysis by dividing building and road which are internal element of a space into the whole city and urbanized area to compare and analyze validity of the theory application and the inside of an actual urban space. For the method of an analysis, it calculated Fractal Dimension by linking a digital map including the property of building and road with GIS program and using box counting. An analysis result showed that the result value of Fractal Dimension by structure and road is all high and similar. It drew a similar result value from the whole Cheongju and the urbanized area as well, but commercial and industrial area showed low result value from the partial viewpoint. However, it is correct to regard these spaces as one space because they are intimately connected with a residential area. From the general viewpoint, it could be said that Cheongju's Fractal Dimension grows in the context of a urbanized area.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.219-228
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• 2023

The purpose of this study is to find out the competence of porspective speech and language pathologist according to Clinical practicums and to use it as basic data in guiding porspective speech and language pathologist. The porspective speech and language pathologist competence consisted of tasks, knowledge, skills, and language areas, and a total of 36 questionnaires were organized by dividing the language areas into sub-areas of smantics, morphology and pragmatics. A total of 105 questionnaires were collected from students with experience in Clinical practicums. A t-test, Pearson correlation analysis, and simple regression analysis were conducted to analyze the competence of porspective speech and language pathologist according to whether or not they practiced. The results of this study are as follows. First, there were significant differences between groups in all areas of knowledge, tasks, skills, and language in the competence area. Second, there was a very strong correlation between competence and language sub-areas. Third, it was found that it had a significant explanatory power in the sub-area of competence and language areas, and had a positive effect on the competence of porspective speech and language pathologist. This study is meaningful in that it should be based on theoretical knowledge of language elements to enhance the competence of porspective speech and language pathologist, and it can be confirmed that theory affects the competence of porspective speech and language pathologist. It is expected to be meaningfully used as a basis for efficient teaching methods based on the improvement of the capabilities of porspective speech and language pathologist, training training professional language rehabilitators, and theory, and theory.

• Phonetics and Speech Sciences
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• v.12 no.2
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• pp.39-49
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• 2020

The prosody of children with autism spectrum disorders (ASD) has several abnormal features, including monotonous speech. The purpose of this study was to compare acoustic features between an ASD group and a typically developing (TD) group and within the ASD group. The study also examined audience perceptions of the lengthening effect of increasing the number of syllables. 50 participants were divided into two groups (20 with ASD and 30 TD), and they were asked to imitate a total of 28 sentences. In the auditory-perceptual evaluation, seven participants chose sentence types in 115 sentences. Pitch, intensity, speech rate, and pitch slope were used to analyze the significant differences. In conclusion, the ASD group showed higher pitch and intensity and a lower overall speaking rate than the TD group. Moreover, there were significant differences in s2 slope of interrogative sentences. Finally, based on the auditory-perceptual evaluation, only 4.3% of interrogative sentences produced by participants with ASD were perceived as declarative sentences. The cause of this abnormal prosody has not been clearly identified; however, pragmatic ability and other characteristics of autism are related to ASD prosody. This study identified prosodic ASD patterns and suggested the need to develop treatments to improve prosody.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.