• Speech Sciences
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• v.9 no.4
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• pp.39-47
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• 2002

The purpose of this study was to investigate the effects of Seo Dongil's voice technique on voice quality in patient with adductor spasmodic dysphonia. One patient participated in the study. The subject was assessed acoustically (Ave Fo, Ave Int, percent speech time, percent silence time, percent voice time, percent voiceless time) and perceptually (GRBAS scales) in the first and last session. Dr. Speech (version 4.0, Tiger-DRS) was used to compare acoustic parameters of pre-and post-treatment. Seo Dongil's voice technique consisted of relaxation, breathing exercise and phonation exercise. The results were as follows: First, Seo Dongil's voice technique tented to be effective on decreasing voice break and voice stoppage in patient with adductor spasmodic dysphonia. Second, GRBAS scales showed that Seo Dongil's voice technique was effective on improving voice quality of patient with adductor spasmodic dysphonia.

• Speech Sciences
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• v.10 no.3
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• pp.79-86
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• 2003

This study compared the voices of ministers and priests. There. has been a common notion that ministers is more passionate than priests in delivering their speech. Therefore, it can be assumed that ministers abuses or misuses his/her voice compared to priests. This study attempted acoustic analysis of the voices of 6 ministers and .5 priests before and after their speech. We measured F0, jitter, shimmer, NNE and HNR using Dr. Speech (Version 4.0, Tiger DRS). A t-test was performed to determine any objective differences of their voices. The results showed that there were no significant differences in the voices of ministers and priests before and after their speech. However, there seemed to be an interesting reversed tendency between ministers and priests, although it did not reach a statistical significance. That is, P0 tended to increase after the speech in ministers, whereas it tended to decrease in priests. In addition, HNR tended to decrease after the speech in priests, while it tended to increase in ministers.

• Journal of KIISE:Software and Applications
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• v.26 no.4
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• pp.487-499
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• 1999

공간 또는 다차원 데이터베이스에서는 노드영역의 중첩 및 다차원성 때문에 다수의 색인 노드를 읽어야 하는 질의가 빈번히 나타난다. 이와 관련하여 기존 연구에서는 질의를 처리하기 위해 읽어야하는 노드의 수를 줄일수 있는 새로운 색인방법을 다수 제안하였으며 본 논문에서는 같은 수의 노드를 디스크에서 빨리 읽을 수 있도록 클러스터링하는 간단한 방법을 제안한다. 제안된 방법은 노드를 형제 노드 군으로 분할하여 한 형제 노드군을 연속된 디스크 블록 군에 저장하고 노드 분할 또는 병합이 일어날때도 이런 클러스터링을 동적으로 유지한다. 약 130,000개의 TIGER 데이터와 Hilbert R-트리를 이용할 실험 결과 , 제안된 형제 노드 클러스터링을 통해 공간 영역 질의, 공간 근접질의, 공간조인 질의 등을 처리할 때 필요한 디스크 접근 시간을 최대 86%까지 줄일 수 있었다. 반면 색인 갱신과정에서 형제노드 클러스터링을 동적으로 유지하는 데 필요한 디스크 읽기 쓰기 회수의 증가량은 1% 미만밖에 되지 않았다.

• Speech Sciences
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• v.14 no.3
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• pp.139-146
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• 2007

This study attempted to obtain differences as a function of Korean and Chinese in vowels. The $NasalView^{(R}}$ (Tiger Electronics Inc., Seattle, USA) was used to obtain nasalance values. Ninety eight subjects participated in this study (48 females from Korea and 48 females from China). The stimuli used in this experiment included vowel /i, a, u/. The stimuli were presented in a random order. The entire session was recorded and the average nasalance score was measured via the $NasalView^{(R)}$. The procedure took approximately 10 minutes. The results of this study showed that the difference between Korean and Chinese was significant in vowel /i, a, u/. The average nasalance scores were /i, a, u/ from highest to lowest in order in vowels. The average nasalance was higher in China than Korean in vowels.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.129-132
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• 2004

공간 색인구조는 공간 데이터를 효율적으로 관리하기 위한 도구로써, GIS와 같은 공간 데이터베이스의 성능을 결정하는 중요한 요소라 하겠다. 대부분의 응용분야에서 공간 데이터베이스는 보조기억장치에 저장된 방대한 양의 공간데이터 처리를 요구하므로 디스크 접근의 수를 줄이는 것이 전체 데이터베이스의 성능을 향상시키는데 중요한 요소이다. 이 논문에서는 SMR-tree라는 공간색인구조의 여러 응용분야에서 활용 가능성을 기존의 색인구조들과의 비교를 통해 확인한다. SMR-tree는 R-tree 계열의 구조로써 기존의 R-tree계열의 구조들과 동일한 노드의 형태를 가지고 있으나, 여러 개의 data space를 사용하여 data object를 배분함으로써 $R^{+}-tree$의 말단노드 내에 존재하는 잉여공간을 제거하면서 R-tree의 단점인 색인노드들 사이에 중첩을 허용치 않는다. SMR-tree의 성능은 여러 종류의 테스트 데이터(VLSI layout data, Tiger/Line file data)를 사용하여 R-tree, $R^{+}-tree,\;R^{\ast}-tree$와 비교된다. SMR-tree는 높은 공간 활용도와 다른 색인구조에 비해 빠른 질의 성능을 보임으로써 GIS와 같은 공간 데이터베이스를 위한 효율적인 색인구조로 사용이 될 것으로 기대된다.

• Korean Journal of Veterinary Research
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• v.33 no.4
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• pp.763-772
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• 1993

In the present communication literatures pertaining to the coat color of Jindo dogs, the natural monument of Korea, have been reviewed. It was reported that there were seven different coat colors in Jindo dogs. They are yellow, white, red, black, tiger-like, grey, and spotted. The yellow and red dogs have typical color markings called "Yibaik", and black dogs have yellow or white color markings called "Nenoonbagi". All Jindo dogs, which have 7 different coat colors with typical color markings, could be found nowadays. The pictures of those Jindo dogs were taken and presented in this communication. It was felt that the coat colors of Jindo dogs should not be limited to yellow and white. And Jindo dogs should be judged not by their coat color but by their noble characteristics.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.19-21
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• 2004

이 논문은 인덱스가 존재하지 않는 두 입력 테이블의 공간 조인 연산 과정 중 여과 단계 처리에 중점을 둔다. 관련 연구는 Spatial Hash Join(SHJ)과 Scalable Sweeping-Based Spatial Join(SSSJ) 알고리즘이 대표적이다. 하지만 조인을 위한 입력 테이블의 객체들이 편중 분포할 경우 성능이 급격히 저하되는 문제를 가지고 있다. 따라서, 이 논문에서는 이러한 문제를 해결하기 위해 기존 SHJ 알고리즘과 SSSJ 알고리즘의 특성을 이용한 Spatial Hash Strip Join(SHSJ) 알고리즘을 제안한다. 기존 SHJ 알고리즘과의 차이점은 입력 데이터 집합을 버킷에 할당할 때 버킷 용량에 제한을 두지 않는다는 점과 버킷의 조인 단계에서 I/O 성능의 향상을 위해 우수한 SSSJ 알고리즘을 사용한다는 것이다. 끝으로 이 논문에서 제안한 SHSJ 알고리즘의 성능은 실제 Tiger/line 데이터를 이용하여 실험한 결과 기존의 SHJ와 SSSJ 알고리즘 보다 편중된 입력 테이블의 조인 연산에 대해 월등히 우수함이 검증되었다.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.224-230
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• 2021

YouTube is an OTT service that leads the home economy, which has emerged from the 2020 Corona Pandemic. With the growth of OTT-based individual media, creators are required to establish attractive storytelling strategies that can be preferred by viewers and elected for YouTube recommendation algorithms. In this study, we conducted a study on modeling that proposes a content storyline for creators. As the ability for Creators to create content that viewers prefer, we have presented the data literacy ability to find patterns in complex and massive data. We also studied the importance of compelling storytelling configurations that viewers prefer and can be selected for YouTube recommendation algorithms. This study is of great significance in that it deviated from the viewer-oriented recommendation system method and proposed a story suggestion model for individual creaters. As a result of incorporating this story proposal model into the production of the YouTube channel Tiger Love video, it showed a certain effectiveness. This story suggestion model is a machine learning text-based story suggestion system, excluding the application of photography or video.

• Journal of Advanced Information Technology and Convergence
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• v.9 no.2
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• pp.89-97
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• 2019

Recently, there is an increasing demand for applications utilizing maps and locations such as autonomous vehicles and location-based services. Since these applications are developed based on spatial data, interest in spatial data processing is increasing and various studies are being conducted. In this paper, I propose a parallel mining algorithm using the CUDA library to efficiently analyze large spatial data. Spatial data includes both geometric (spatial) and non-spatial (aspatial) attributes. The proposed parallel spatial data mining algorithm analyzes both the geometric and non-spatial relationships between two layers. The experiment was performed on graphics cards containing CUDA cores based on TIGER/Line data, which is the actual spatial data for the US census. Experimental results show that the proposed parallel algorithm using CUDA greatly improves spatial data mining performance.

• Sim-seong Yeon-gu
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• v.33 no.2
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• pp.141-194
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• 2018

The article is about Yong-Ho-Bi-Gyeol(龍虎秘訣), which is one of the most important Taoist text in Korea written by Jeong-Ryum, a Taoist and alchemist in the Chosun Dynasty. The article deals with the alchemical and psychological meanings of Yong-Ho (龍虎, Dragon-Tiger), the way of nurturing cinnabar (修丹之道), the closing of the qi (閉氣), the method of alchemical breathing, the Dantian (丹田, cinnabar-field), and the Mysterious Female's One Opening (玄牝一竅), in addition to the brief introduction of the life of Jeong-Ryum and the bibliography of the book. The Yong-Ho (龍虎) meaning the dragon and tiger is the archetype of transformation in the form of their opposites, rooted in the psychoid system of the human psyche. The unified Yong-Ho makes Dan and the Dan, literally indicating cinnabar, has many alchemical connotations such as Mercurius, the rubedo state of the alchemical process, and the philosopher's stone. In the book, Jeong-Ryum emphasized the slow and subtle way of breathing in and out of Dantian to develop neidan (内丹, inner cinnabar or inner alchemy). The refining of neidan begins by the closing of the qi, which symbolizes the radical introversion and withdrawal of all the projections on the outer objects. The Dantian located at the lower part of the abdomen has been known to preserve jing (精), the vital essence of life, which can be refined into qi and spirit (神). In Jungian perspective, the Dantian is a mandala where an individual's mind can stay and focus at the center of psyche detached from ego and related to the Self. The long-nurtured introverted energy makes the Mysterious Female's One Opening (玄牝一竅), a pit or cavity in the transcendental space, through which the meditator can have a relationship with the great female principle of the universe. The current article has introduced the contents of the Yong-Ho-Bi-Gyeol in the perspective of analytical psychology. However, it has not dealth with the remaining topics including Taesik (胎息, embryonic breathing) and Juchenhwahu (周天火候, the great Celestial circuit firing), due to the lack of author's sufficient knowledge and experience. The unexplored areas of Yong-Ho-Bi-Gyeol will be studied in the future.