• CELLMED
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• v.14 no.2
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• pp.3.1-3.2
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• 2024

The purpose of this study is to consider the health and well-being of singing, an expression activity of language. There are also many studies in which singing activities have a positive effect on individual quality of life and social activities. Therefore, this study attempted to suggest that more effective singing is being performed by increasing empathy through various expressions of onomatopoeia and mimic words. Love Changbu Taryeong (愛倡夫打令) is Korea's traditional representative Gyeonggi folk song. It is a cheerful and lyrical folk song based on the five scale of Sol-ra-do-re-mi. It sings not only human joy, sorrow, and pleasure, but also natural phenomena and scenes. It is an exciting rhythm based mainly on the Gutgeori jangdan (rhythmic pattern, 12/8) but it is a rhythm that you can feel the sadness in it. In particular, various onomatopoeia and mimic words appear in this song, making you think about the fun of singing and the origin of the language. Therefore, this study attempted to examine that more effective singing is becoming more effective by increasing empathy through various expressions of onomatopoeia and mimic words. You can watch our singing activities on YouTube.(https://youtu.be/IhnBqWiK-3w?si=AAMi2BVes9mPShnr)

• Journal of information and communication convergence engineering
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• v.2 no.3
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• pp.172-176
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• 2004

In special effects industry there is a high demand to convincingly mimic the appearance and behavior of natural phenomena such as smoke, waterfall, rain, and fire. Particle systems are methods adequate for modeling fuzzy objects of natural phenomena. This paper presents particle system graphics library for generating special effects in video games and virtual reality applications. The library is a set of functions that allow c++ programs to simulate the dynamics of particles for special effects in interactive and non-interactive graphics applications, not for scientific simulation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.442-444
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• 2013

In this paper, we may by gestures and voice, to know the effect of imitation on the life. Measuring how much about what is imitation unconsciously during conversation to collect data for measuring mimic such speak a short (1 sec) words. It can be used as a basis to predict the outcome of the interview further. Even used as a basis to predict future outcomes. We expect that our group and other researchers will continue to pursue this analysis with larger datasets and across different demographics.

• Journal of the Korean Home Economics Association
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• v.41 no.12
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• pp.229-243
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• 2003

The purpose of this study is to understand North Korean female defectors' survival strategies in China. In this research, 13 female defectors in China were interviewed. There seemed to be 6 survival strategies in the interview. They disguised themselves as if they were Chosunjok；they tried to wear fashionable clothes, to mimic Chosunjok dialect, to speak mingling Chinese words with Korean words, and to get counterfeit ID cards. They suppressed themselves from showing their angers or resentment against Chinese who looked down on them due to their illegal status, but they would seek chances to revenge on them in the future. They have survived by gelling married to Chinese, but they were reluctant to have a baby because it was not for sure what their future lives are going to be like. They were alert against people around them all the time, especially against North Korean defectors, and were conscious of their competitive relationship among themselves. Finally, some of them appeared to seek routes to immigrate to South Korea, but others who didn't yet make up their minds to immigrate to South Korea had vague anticipations of North and South Koreas to be reunified.

• The Journal of the Acoustical Society of Korea
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• v.29 no.2
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• pp.125-132
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• 2010

Since the ancient times, animals that can imitate the voices of human beings have been considered extremely special. There are very few such animals, and the parrot is an example of them. For a long time, there had been no reported case of a rooster being able to mimic the voice of a human being, but talking roosters were recently found in Korea and the Kyrgyz Republic, generating much talk. In this study, the vocal characteristics of such roosters were examined, and their pronunciation-related statistics and actual sound sources were analyzed. The analysis results showed that even though the roostets cannot converse with people, they can imitate the human voice, uttering the words "An-dwae," and "A-ni-ya" in Korean, which mean "No" in English, when someone tries to catch their wings. A similar situation 'occurred in the Kyrgyzstan. The results of the listening survey on these sounds made by the roosters showed that most people recognized the words uttered by the roosters and that nobody thought that the words sounded like "cock-a-doodle-doo." It can be said that such roosters can make the sounds of the human voice because of their innate vocal organ and characteristics, which are significantly different from those of the general roosters. Their vocal organ and characteristics cause the sounds that they make to change in their vocal cords due to their high tension when humans try to catch them.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2768-2787
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• 2023

As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.