• Title/Summary/Keyword: 의세종

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Adaptive depth control algorithm for sound tracing (사운드 트레이싱을 위한 적응형 깊이 조절 알고리즘)

  • Kim, Eunjae;Yun, Juwon;Chung, Woonam;Kim, Youngsik;Park, Woo-Chan
    • Journal of the Korea Computer Graphics Society
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    • v.24 no.5
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    • pp.21-30
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    • 2018
  • In this paper, we use Sound-tracing, a 3D sound technology based on ray-tracing that uses geometric method as auditory technology to enhance realism. The Sound-tracing is costly in the sound propagation stage. In order to reduce the sound propagation cost, we propose a method to calculate the average effective frame number of previous frames using the frame coherence property and to adjust the depth according to the space based on the calculated number. Experimental results show that the path loss rate is 0.72% and the traversal & Intersection test calculation amount is decreased by 85.13% and the frame rate is increased by 4.48% when the sound source is indoors, compared with the result of the case without depth control. When the sound source was outdoors, the path loss was 0% and the traversal & Intersection test calculation amount is decreased by 25.01% and the frame rate increased by 7.85%. This allowed the rendering performance to be increased while minimizing the path loss rate.

A Recognition and Application Plan of Placenta Chamber of King Sejong's Princes by Big Data Analytical Technique (빅데이터 분석기법을 통한 성주(星州) 세종대왕자태실(世宗大王子胎室)의 인식 및 활용방안)

  • Lim, Jin-Kang;Park, Ji-Hwan
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.36 no.1
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    • pp.78-88
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    • 2018
  • The purpose of this study is to establish a utilization plan according to the cultural value of Placenta Chamber of King Sejong's Princes. We used SNS to analyze various public perceptions and opinions, collected data and analyzed it. The collection period is from June 01, 2007 to June 30, 2017 (for about 10 years), We gathered data from blogs, cafes, and Knowledge IN that contain keywords related to 'Placenta Chamber', 'Placenta Chamber of Seongju', 'Placenta Chamber of King Sejong's Princes'. and Analyzed using the text mining method of the big date program. Based on the main results of the big data analysis, Placenta Chamber's method of utilization was derived. As a result, major keywords such as King Sejong Great, Prince, Sungju, Feng Shui, culture, preservation, blessing etc were derived. The association of 'world', 'heritage', 'cultural heritage' is high, and the connection of 'Placenta Chamber', 'Gyeongsangbuk-do', 'cultural property' is high, and it was able to confirm the value of Placenta Chamber as a world cultural heritage. and It is necessary to induce visitors to feel stimulation or change of surroundings through facility refurbishment and environmental improvement around Placenta Chamber.

A Study on the Explanation of the Title of 'Siyongjeongdaeeopbo' in Daeakhubo Volume 2 (『대악후보』 권2 시용정대업보(時用定大業譜) 편명(篇名) 해설 고찰)

  • Lee, Jong-Sook;Nam, Sang-Sook
    • Korean Journal of Heritage: History & Science
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    • v.49 no.4
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    • pp.80-95
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    • 2016
  • This study sought to disclose the problems surrounding the erroneous explanation of the title of the musical script 'Jeongdaeeop,' which is Jongmyojeryeak(Jongmyo Shrine ritual music), shown in Daeakhubo, Korea's treasure No.1291. Daehakhubo imitated and adopted expressions like 1 Byeon(change) and 1 Pyeon(edition), shown in the music written in the Annals of King Sejong, the foundation of Jongmyojeryeakbo music. Originally, 'Jeongdaeeop' recorded during the reign of King Sejong consisted of 6-Byeon and 13-Pyeon compositions, except Inlet and Outlet tunes. King Sejo, however, while rearranging this music into Jongmyo Shrine Mumuak music, reduced it to 9 tunes. And, when registering such arrangements in the musical scripts in the Annuals of King Sejo, he did not list the explanation of the titles as in the Annals of King Sejong. He just listed the nine tunes. In contrast to the musical scripts in the Annals of King Sejo, in Daeakhubo the details of Byeon and Pyeon under the nine tune titles are listed as in the Annals of King Sejong. This study revealed that Byeon and Pyeon expressed in Daeakhubo were the results of arbitrarily transcribing the different Byeon and Pyeon of 'Jeongdaeeop' and 'Balsang' in the Annals of King Sejong into the revised 'Jeongdaeeop' during the reign of King Sejo. Thus, under the titles of each score in 'Jeongdaeeop' of Daeakhubo are written the explanations of the muscial scores shown in both 'Jeongdaeeop' of the Annals of King Sejong and 'Balsang' of the Annals of King Sejong. Thus, the story of the son Ikjo is described even ahead of the story of the father Mokjo, and stories totally different from the original movements are described, creating overall errors. Such errors were presumably caused by powers that created the false musical script 'Sokakwonbo' during the Japanese colonial rule of Korea and disguised it as a traditional musical script.

Comparison and Analysis of Lengths of Longest Common Subsequence and Maximal Common Subsequence (최장 공통 부분 서열과 극대 공통 부분 서열의 길이 비교 및 분석)

  • Lee, DongYeop;Na, Joong Chae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.15-18
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    • 2021
  • 최장 공통 부분 서열(Longest Common Subsequence, LCS)은 서열 유사도(Similarity)를 측정하기 위한 주요 지표 중 하나로 특별한 가정이 없는 한 두 문자열의 LCS 를 계산하기 위해서는 두 문자열의 길이의 곱에 비례하는 시간이 필요하다. 최근 최장(longest)이라는 조건을 극대(maximal)로 완화한 극대 공통 부분 서열(Maximal Common Subsequence, MCS)이 제시되었고, 두 문자열의 MCS 를 선형에 가까운 시간에 찾는 알고리즘이 개발되었다. 극대는 최장을 보장하지 않기 때문에 두 문자열의 MCS 길이는 LCS 길이와 달리 유일하지 않을 수 있고, LCS 길이가 매우 길어도 길이가 1인 MCS가 존재할 수도 있다. 본 논문에서는 기존 알고리즘에 의해 계산되는 MCS 의 효용성을 알아보기 위해, DNA 등 여러 종류의 실제 데이터와 랜덤 생성된 데이터에 대해 LCS 와 MCS 의 길이를 비교했다. MCS 길이는 LCS 길이 대비 실제 데이터에서 32.1 ~ 60.2%, 랜덤 데이터에서는 27.5 ~ 62.9%로 나타났다. 이 비율은 문자열을 이루고 있는 알파벳 수가 많을수록, 문자열의 길이가 길어질수록 감소했다.

A Study on the Improvement of the Competitiveness of Small and Medium Enterprises in the Digital Healthcare Industry: Focusing on the SWOT Analysis (디지털헬스케어 산업에서의 국내 중소기업 경쟁력 제고 방안 연구: SWOT 분석을 중심으로)

  • YeonKyeong Lee;Minjung Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.425-426
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    • 2023
  • 최근 4차 산업시대 도래, 정보통신기술(ICT)의 발전, 코로나19의 여파로 전 세계적으로 디지털 헬스케어 산업의 중요성과 산업의 전망이 높아지고 있다. 한국에서도 디지털헬스케어관련 정책들이 지속적으로 발표되고 있으나 아직까지 많은 중소기업과 스타트업 기업들이 연구 인력, 인프라, 자금 부족 등으로 새로운 정책을 따라가기 어려운 실정에 놓여 있다. 이에 본 연구에서는 기존 문헌 연구를 통해 디지털 헬스케어 관련 세계 및 국내 변화요인을 파악하고, SWOT분석을 실시하여 국내 중소기업을 위한 경영전략을 도출하고자 하였다. 본 연구는 중소기업이 산업 경쟁력을 제고하기 위한 전략적 대응 및 우선순위 수립 시 기초자료로 활용될 수 있을 것이다.

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Research on Financial Distress Prediction Model of Chinese Cultural Industry Enterprises Based on Machine Learning and Traditional Statistical (전통적인 통계와 기계학습 기반 중국 문화산업 기업의 재무적 곤경 예측모형 연구)

  • Yuan, Tao;Wang, Kun;Luan, Xi;Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.545-558
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    • 2022
  • The purpose of this study is to explore a prediction model for accurately predicting Financial Difficulties of Chinese Cultural Industry Enterprises through Traditional Statistics and Machine Learning. To construct the prediction model, the data of 128 listed Cultural Industry Enterprises in China are used. On the basis of data groups composed of 25 explanatory variables, prediction models using Traditional Statistical such as Discriminant Analysis and logistic as well as Machine Learning such as SVM, Decision Tree and Random Forest were constructed, and Python software was used to evaluate the performance of each model. The results show that the Random Forest model has the best prediction performance, with an accuracy of 95%. The SVM model was followed with 93% accuracy. The Decision Tree model was followed with 92% accuracy.The Discriminant Analysis model was followed with 89% accuracy. The model with the lowest prediction effect was the Logistic model with an accuracy of 88%. This shows that Machine Learning model can achieve better prediction effect than Traditional Statistical model when predicting financial distress of Chinese cultural industry enterprises.

Violence Recognition using Deep CNN for Smart Surveillance Applications (스마트 감시 애플리케이션을 위해 Deep CNN을 이용한 폭력인식)

  • Ullah, Fath U Min;Ullah, Amin;Muhammad, Khan;Lee, Mi Young;Baik, Sung Wook
    • The Journal of Korean Institute of Next Generation Computing
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    • v.14 no.5
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    • pp.53-59
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    • 2018
  • Due to the recent developments in computer vision technology, complex actions can be recognized with reasonable accuracy in smart cities. In contrast, violence recognition such as events related to fight and knife, has gained less attention. The capability of visual surveillance can be used for detecting fight in streets or in prison centers. In this paper, we proposed a deep learning-based violence recognition method for surveillance cameras. A convolutional neural network (CNN) model is trained and fine-tuned on available benchmark datasets of fights and knives for violence recognition. When an abnormal event is detected, an alarm can be sent to the nearest police station to take immediate action. Moreover, when the probabilities of fight and knife classes are predicted very low, this situation is considered as normal situation. The experimental results of the proposed method outperformed other state-of-the-art CNN models with high margin by achieving maximum 99.21% accuracy.

Comparative Determinations of Half Clearance Time of $^{198}Au$ and Liver Weight, Maximal Vertical Width of Right and Left Lobe in the Various Liver Disease (각종(各種) 간질환(肝疾患) 환자(患者)에 있어서 간주사상(肝走査像)에 의(依)한 간(肝)의 중량(重量) 및 좌우(左右) 간엽(肝葉)의 최장종축(最長縱軸)에 대(對)한 비교(比較)와 $^{198}Au$의 혈중(血中) 제거율(除去率)의 동태(動態))

  • Gu, Seok-Won;Kim, Se-Jong;Park, Gyeong-Ok;Park, Ok-Gyu;Choe, Byeong-Jae;Kim, Ji-Yeol
    • 대한핵의학회:학술대회논문집
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    • 1978.06a
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    • pp.57.1-57.1
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    • 1978
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Restoration Model Research and Modern Application of Astronomical Clock, Heum-gyeong-gak-nu in King Sejong Era

  • Kim, Sang Hyuk;Ham, Seon Young;Lee, Yong Sam
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.1
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    • pp.69.2-69.2
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    • 2015
  • 세종시대의 장영실(蔣英實)은 두 가지의 자동 물시계를 제작했다. 이미 잘 알려진 보루각루(報漏閣漏, '자격루'로 불림)는 1434년에 완성되어 국가 표준시계로서의 역할을 수행했고, 이어서 만들어진 흠경각루(欽敬閣漏, 1438년 제작)는 세종을 위한 특별한 시계였다. 이 연구는 흠경각(欽敬閣)에 설치한 물시계에 대한 것이다. 당시 흠경각은 세종의 정치적 구상을 위한 장소로 사용됐다. 이는 흠경각루를 이루고 있는 외형 부분인 가산(假山)에 빈풍사시(豳風四時)의 풍경을 그린 점과 의기(倚器)를 설치한 정황에서 알 수 있다. 빈풍사시의 그림은 당시에 유행하던 그림 화법으로 계절에 따른 농사일이 그려져 있어 농사짓는 백성들의 어려움을 살필 수 있었다. 또한 물시계와 함께 작동되는 의기(倚器)는 누수(漏水)에 의해서 그릇에 물이 담겨져 균형을 이루거나 기울어지는 것을 권력의 모습으로 비유하여 보여주었다. 우리는 흠경각루의 문헌내용을 분석하여 먼저 외형모습, 내부의 구성요소에 대한 것을 연구했다. 이러한 연구 성과를 확장하여 내부의 작동메커니즘의 기초설계를 실시했다. 흠경각루의 시간을 유지하는 중요한 요소는 물시계, 수차, 천형시스템의 유기적인 운영이다. 물시계의 유량실험을 통해 수압과 유량의 관계를 분석하고, 수차의 회전과 제어를 담당하는 천형시스템의 모델을 제시했다. 또한 연구과정에서 얻어진 자료의 일부를 전통천문학 교육에 활용하기 위한 웹페이지(history.kasi.re.kr)를 한국천문연구원 서버를 통해 구축중에 있다.

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