혈관확장에 의한 연조직증식을 동반한 선상 한국성 혈관각화종

송민석,이유득,전수일 ( Min Seok Song,Yoo Deuk Lee,Soo Il Chun ) 대한피부과학회 1991 대한피부과학회지 Vol.29 No.4

Linear Angiokeratoma Circumscriptum Associated with Hemangiectatic Hypertrophy Min Seok Song, M.D., Yoo Deuk Lee, M.D., Soo II Chun, M.D. Department of Dermatology, Yonsei University College of Medicine Seoul, Korea A 28-year-old male presented with skin lesions over the left upper limb progressively increasing in size and number since birth. Physical and dermatologic examination revealed hemorrhagic papules and coalesced plaques with hyperkeratotic surface in linear arragement onthe left entire limb, and engorged superficial veins on the left arm. Two nevus flammeus lesions were found at the right hypochondriac and left lumbar region. The size of the left arm and hand was larger than the right though the length of both arm was equal. Histopathology showed the findings of angiokeratoma. Radiographic findings revealed no bony abnormality. Venogram and angiogram showed prominent venous system and increased perfusion of affected site. A diagnosis of linear angiokeratoma circumscriptum associated with hemangiectatic hypertrophy was perferred since there were no bony lesion of the classic Klippel-Trenaunay syndrome. (Kor J Dermatol 29(4) : 544-548, 1991)

Balancing MPEG Transcoding with Storage in Multiple-Quality Video-on-Demand Services

송민석,심정섭,Jaedoo Go,Bumsun Lee,박수준 한국전자통신연구원 2009 ETRI Journal Vol.31 No.3

To match the requirements of heterogeneous mobile devices, video objects may be transcoded, which requires considerable CPU resources. Alternatively, multiple versions of the same video may be stored on servers, but this requires a lot of disk space. We formulate the trade-off between the versions that are stored on disk and the need for transcoding. We propose an optimal solution to this formulation based on dynamic programming. Experiments show that our scheme allows up to 68% more clients to be admitted than conventional schemes when a reasonable amount of storage is available.

점막하 자궁근종으로 오인된 탈락막 원주의 자연배출 1예

송민석,김승룡,김성희,유창준,이정환,조출현,이정한 대한산부인과학회 2008 대한산부인과학회 학술대회 Vol.94 No.-

스마트 시티와 빅데이터

송민석 한국경영과학회 2018 한국경영과학회 학술대회논문집 Vol.2018 No.10

현대 국어의 어두 “과”에 일어나는 경음화 현상

송민석 韓國外國語大學校 大學院 1990 里門論叢 Vol.9 No.1

한국어 연속음성에서의 조사 및 어미 인식에 관한 연구

송민석,이기영 한국음성과학회 1999 음성과학 Vol.6 No.1

This study proposes a method of recognizing postpositions and suffixes in Korean spoken language, using prosodic information. We detect grammatical boundaries automatically at first, by using prosodic information of the accentual phrase, and then we recognize grammatical function words by backward-tracking from the boundaries. The experiment employs 300 sentential speech data of 10 men's and 5 women's voice spoken in standard Korean, in which 1080 accentual phrases and II postpositions and suffixes are included. The result shows the recognition rate of postpositions in two cases. In one case in which only correctly detected boundaries are included, the recognition rate is 97.5%, and in the other case in which all detected boundaries are included, the recognition rate is 74.8%. Keywords: accentual phrase, backward-tracking, continuous speech

Evaluation of the Efficacy of a Pre-pandemic H5N1 Vaccine (MG1109) in Mouse and Ferret Models

송민석,문호진,권혁일,Philippe Noriel Q. Pascua,이준한,백윤희,우규진,최주희,이상호,유현승,오인경,윤엽,노종복,성문희,홍승표,김철중,최영기 한국미생물학회 2012 The journal of microbiology Vol.50 No.3

The threat of a highly pathogenic avian influenza (HPAI) H5N1 virus causing the next pandemic remains a major concern. In this study, we evaluated the immunogenicity and efficacy of an inactivated whole-virus H5N1 pre-pandemic vaccine (MG1109) formulated by Green Cross Co., Ltd containing the hemagglutinin (HA) and neuraminidase (NA) genes of the clade 1 A/Vietnam/1194/04 virus in the backbone of A/Puerto Rico/8/34 (RgVietNam/04xPR8/34). Administration of the MG1109 vaccine (2-doses) in mice and ferrets elicited high HI and SN titers in a dose-dependent manner against the homologous (RgVietNam/04xPR8/34) and various heterologous H5N1 strai(RgKor/W149/06xPR8/34,RgCambodia/ 04xPR8/34,RgGuangxi/05xPR8/34), including a heterosubtypic H5N2 (A/Aquatic bird/orea/W81/05) virus. However, efficient cross-reactivity was not observed against heterosubtypic H9N2 (A/Ck/Korea/H0802/08) and H1N1 (PR/8/34) viruses. Mice immunized with 1.9 μg HA/dose of MG1109 were completely protected from lethal challenge with heterologous wild-type HPAI H5N1 A/EM/Korea/W149/06 (clade 2.2) and mouse-adapted H5N2 viruses. Furthermore, ferrets administered at least 3.8 μg HA/dose efficiently suppressed virus growth in the upper respiratory tract and lungs. Vaccinated mice and ferrets also demonstrated attenuation of clinical disease signs and limited virus spread to other organs. Thus, this vaccine provided immunogenic responses in mouse and ferret models even against challenge with heterologous HPAI H5N1 and H5N2 viruses. Since the specific strain of HPAI H5N1 virus that would potentially cause the next outbreak is unknown, pre-pandemic vaccine preparation that could provide crossprotection against various H5 strains could be a useful approach in the selection of promising candidate vaccines in the future.

사회복지시설 평가제도의 융합모형

송민석 한국융합학회 2015 한국융합학회논문지 Vol.6 No.5

사회복지시설은 지역주민의 복지욕구에 적합한 서비스의 자원개발과 전달체계를 국가로부터 위임받아 국 민에게 전문적인 사회복지서비스 제공을 위해 시설의 합리적이고 효율적인 시설운영과 효과적인 서비스전달 등에 대한 사회적 책임의식을 가진다. 지금까지 사회복지사업법 규정에 의한 제5차에 걸친 평가는 사회복지시설 운영의 효율성과 책임성을 제고하는 동시에 합리적이고 체계적인 운영방향을 제시하여 사회복지시설의 균형적 발전과 선진 화를 위한 중요한 토대를 마련하였다. 그러나 사회복지시설 평가의 문제점에 대해서도 지속적으로 제기되어 온 것도 사실이다. 따라서 본 연구에서는 사회복지시설에 대한 사회적 요구에 부응할 수 있는 평가체계가 갖추어야 할 기준 과 개선방안을 도출함으로써 시설이용자들의 복지를 통한 삶의 질을 향상시킬 수 있는 융합모형을 제시하고자 한다. The social welfare facilities are trusted by the government for the development of appropriate welfare services and their delivery systems. They aim to provide people with professional social welfare services and, for this purpose, they develop ways to effectively operate facilities and to deliver the services efficiently. So far, the five consecutive evaluations based on the Social Services Act have suggested the effective and systematic ways of operating social welfare facilities. Through these efforts, they established an important basis for the balanced development and further advancement of social welfare facilities. Nevertheless, people have continually pointed out problems concerning the evaluation system of social welfare facilities. Accordingly, these problems have the necessity of investigation for reformed directions by means of effective control and evaluation system for the operation of social welfare facilities. Therefore, this study aims to suggest convergence models for improving the social welfare facilities evaluation system.

비즈니스 프로세스 수행자들의 Social Network Mining에 대한 연구

송민석,W.M.P. van der Aalst,최인준 대한산업공학회 2004 대한산업공학회 춘계학술대회논문집 Vol.2004 No.2

웨이블릿 변환 기반 CNN을 활용한 무선 신호 분류

송민석,임재성,이민우 한국정보통신학회 2022 한국정보통신학회논문지 Vol.26 No.8

As the number of signal sources with low detectability by using various modulation techniques increases, research to classify signal modulation methods is steadily progressing. Recently, a Convolutional Neural Network (CNN) deep learning technique using FFT as a preprocessing process has been proposed to improve the performance of received signal classification in signal interference or noise environments. However, due to the characteristics of the FFT in which the window is fixed, it is not possible to accurately classify the change over time of the detection signal. Therefore, in this paper, we propose a CNN model that has high resolution in the time domain and frequency domain and uses wavelet transform as a preprocessing process that can express various types of signals simultaneously in time and frequency domains. It has been demonstrated that the proposed wavelet transform method through simulation shows superior performance regardless of the SNR change in terms of accuracy and learning speed compared to the FFT transform method, and shows a greater difference, especially when the SNR is low. 다양한 변조 기법을 사용하여 저피탐 능력을 갖춘 신호원들이 증가하면서, 신호의 변조 방식을 분류하는 연구가 꾸준히 진행되고 있다. 최근 신호 간섭이나 잡음 환경에서 수신 신호 분류의 성능 개선을 위하여 전처리 과정으로 FFT를 이용하는 CNN(Convolutional Neural Network) 딥러닝 기법이 제안되었다. 하지만 윈도우가 고정되는 FFT의 특성상 탐지 신호의 시간에 따른 변화를 정확히 분류해내지 못한다. 따라서 본 논문에서는 시간 영역과 주파수 영역에서 높은 해상도를 가지고 또한 다양한 유형의 신호를 시간 및 주파수 영역에서 동시에 표현할 수 있는 웨이블릿 변환(wavelet transform)을 전처리 과정으로 사용하는 CNN 모델을 제안한다. 시뮬레이션을 통해 제안하는 웨이블릿 변환 방식이 FFT 변환 방식에 비해 정확도와 학습 속도 측면에서 SNR 변화에 무관하게 우수한 성능을 보이고, 특히 낮은 SNR일 때 더욱 큰 차이를 보임을 입증하였다.