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RISS 인기검색어
- 검색키워드
- 저자 : Seung-Soon Shin(신승수) (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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박순홍(Park Soon-Hong),최승권(Choi Seung-Kwon),신승수(Shin Seung-Soo),조용환(Cho Yong-Hwan) 한국콘텐츠학회 2003 한국콘텐츠학회 종합학술대회 논문집 Vol.1 No.1
본 논문에서는 암호화 모듈을 적용한 콘텐츠 전송 시스템을 제안한다. 사용자측의 전용 브라우저를 통해 RSA 암호화 알고리즘과 XOR 연산 기법으로 암호화된 콘텐츠를 제공함으로써 콘텐츠 불법 유통과 불법 복제를 방지하고 기존의 콘텐츠 전송 시스템들이 전송 도중의 공격에 취약한 점을 보완한다. 또한 재생 완료 즉시 전용 브라우저로 암호키를 갱신함으로써 콘텐츠와 전용 브라우저를 1:1 관계로 묶어 저작권을 보호한다. In this thesis, we suggest the contents transmission system applied by Encryption Module. It prevents illegal distribution and reproduction of contents and supplements the limitation of the exiting transmission systems during the transmission by providing the contents encoded by RSA encryption algorithm and XOR computation method through user-oriented browser. And at same time, it protects the copyright with typing the contents and user-oriented browser in one-to-one manner by way of using the browser to renew a encoding key as soon as replay is completed.
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MonteCarlo 코드를 이용한 PWR 일차 계통 선원항 평가에 관한 연구
송종순,이상헌,신승수,Song, Jong Soon,Lee, Sang Heon,Shin, Seung Su 한국방사성폐기물학회 2018 방사성폐기물학회지 Vol.16 No.3
The decommissioning of nuclear power plants is generally executed in five steps, including preparation, decontamination, cutting/demolition, waste disposal and environmental restoration. So, for efficient decommissioning of nuclear power plants, worker safety, effects compared to cost, minimization of waste, possibility of reuse, etc., shall be considered. Worker safety and measurement technology shall be secured to exert optimal efficiency of nuclear power plant decommissioning work, for which accurate measurement technology for systems and devices is necessary. Typical In-Situ methods for decommissioning of nuclear plants are CZT, Gamma Camera and ISOCS. This study used ISOCS, which can be applied during the decommissioning of a nuclear power plant site without collecting representative samples, to take measurements of the S/G Water Chamber. To validate the measurement values, Microshield and the GEANT4 code was used as the actual method were used for modeling, respectively. The comparison showed a difference of $1.0{\times}10^1Bq$, which indicates that it will be possible to reduce errors due to the influence of radiation in the natural environment and the precision of modeling. Based on the research results of this paper, accuracy and reliability of measurement values will be analyzed and the applicability of the direct measurement method during the decommissioning of NPPs will be assessed.
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국민건강진단조사(National Health Examination Survey) 내용선정에 관한 연구
이순영,김혜경,박주원,신승수,Lee, Soon-Young,Kim, Hae-Kyung,Park, Ju-Won,Shin, Seung-Soo 대한예방의학회 1998 예방의학회지 Vol.31 No.2
The purpose of this study was to identify the major health components and measurements to be conducted in National Health Examination Survey(KNHES). The prevalence and severity of disease, acceptability of population and the possibility of standardization of measurement were considered as guideline for selecting the components. On the base of magnitude and severity of disease, chronic liver disease, hepatic cancer, gastric ulcer, stomach cancer, essential hypertension, cerebrovascular disease, ischemic heart disease, pulmonary tuberculosis, lung cancer, DM, breast cancer, cervical cancer, arthritis and intervertebral disc disorder were selected as the preliminary target diseases. Questionnaire survey for 648 persons in 'K' city and medical specialists in five clinical societies were conducted for evaluation the acceptability of general population for the measurements and the possibility of standardization for the procedures. In conclusion, the major target diseases were chronic liver disease, hypertension and DM and the total cholesterol, high density lipoprotein, triglyceride, total protein, albumin, hemoglobulin, hematocrit, platlet count, anti-HBs, HBsAg, height and weight were selected for basic physical components.
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Computer Vision-based Basketball Player Training System
Man Zhang(장만),Seung-Soon Shin(신승수) 한국디지털콘텐츠학회 2024 한국디지털콘텐츠학회논문지 Vol.25 No.3
Computer vision-based basketball player training system is a state-of-the-art field that relies on computer vision technologies and deep learning to help the basketball player train. Computer Vision-Based basketball player training systems rely on extensive training data to detect the players movements and poses; the current training datasets are relatively small and vary in quality, affecting the basketball training effect. This paper proposes the human skeleton detection model, basketball and basketball hoop detection model, basketball shot detection model, basketball hit detection model, and basketball hit prediction model. In the proposed model, the basketball hit detection is improved by up to 9.66% over the existing method. The basketball hit prediction model is improved by up to 10.72% over the existing method using mathematical methods.
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Man Zhang(장만),Seung-Soon Shin(신승수) 한국디지털콘텐츠학회 2024 한국디지털콘텐츠학회논문지 Vol.25 No.3
Basketball shooting percentage is an important index used to measure a player’s technical skill. This paper presents a basketball shot prediction model based on a convolutional neural network (CNN) and sensor data, to improve the efficiency and accuracy of basketball shot training. First, three sensors were used to collect player motion data during the shooting process, and the CNN was used to analyze and learn these data. The proposed model achieved 98.5% shooting prediction accuracy, which is higher 13.5% than the existing paper method. Recently, the rapid development of artificial intelligence and sensor technology has led to the emergence of deep learning-based shooting hit prediction models, providing new scientific tools for basketball training.
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