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- 저자 : 김성민 ( Sung Moon Kim ) (검색결과 38 건)
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단상 멀티레벨 능동전력필터를 위한 고조파 검지 기법 비교
김윤호(Yoon-Ho Kim),김수홍(Soo-Hong Kim),김성민(Sung-Min Kim),서강문(Kang-Moon Seo) 전력전자학회 2005 전력전자학술대회 논문집 Vol.- No.-
In this paper, harmonic detecting methods for the active power application are investigated. They are RDFT, Kalman Filter, Adaptive predictive filter, Instantaneous reactive power detecting method, Improved adaptive filter detecting method. The 5 harmonic detecting methods are simulated and their characteristics for the active filter application are compared using simulation results.
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경피 내시경하 위루술 시행 후 발생한 buried bumper syndrome 2예
김성민 ( Sung Min Kim ),김선문 ( Sun Moon Kim ),양성욱 ( Seong Wook Yang ),이태희 ( Tae Hee Lee ),임의혁 ( Euyi Hyeog Im ),최용우 ( Young Woo Choi ),강영우 ( Young Woo Kang ) 대한내과학회 2009 대한내과학회지 Vol.76 No.6
Percutaneous endoscopic gastrostomy (PEG) is used for nutritional support in patients who require prolonged tube feeding. However, numerous complications have been reported since its introduction. Buried bumper syndrome is an uncommon, but well-documented, complication of PEG placement. The condition often results from excessive pressure exerted on the gastric mucosa by the tight anchorage between the internal and external bumpers. This leads to mucosal erosion and embedding of the internal bumper in the gastric wall, which obstructs feeding. We report two cases of buried bumper syndrome: one was corrected using the push technique and the other was removed surgically. (Korean J Med 76:722-726, 2009)
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실내 트레이닝 시설 안전사고 및 부상 예방을 위한 모니터링 시스템 개발
김성민(Kim, Sung-Min),김석범(Kim, Suk-Beom),문제헌(Moon, Je-Heon) 한국체육과학회 2023 한국체육과학회지 Vol.32 No.6
The purpose of this study is to develop a manager monitoring system that identifies the location and movement of users using spatial information in indoor sports facilities and detects users behavior patterns in real-time. First, the integrated monitoring program was developed, and the quantitative goals required in the program were defined as multi-user tracking simultaneous processing support, safety accident behavior recognition, behavior recognition accuracy, location-based emergency notification accuracy, and the number of dangerous behavior data. In addition, satisfaction surveys (11 questions) and usability evaluations (8 questions) were conducted to evaluate the manager monitoring system. As a result of the quantitative goal, the number of simultaneous multi-user tracking support was tracked by five people, and the number of safety accident behavior recognition was accurately classified in all four movements. Behavior recognition accuracy was approximately 97.5%, and location-based emergency notification accuracy was operated normally ten times. As a result of the qualitative goal, the heart rate and fall position needed to be more accurate. It was evaluated that the target values of the number of safety accident behavior recognition and the number of dangerous motion data construction were achieved, but they needed to be accurately classified. It is expected that the scope will be expanded to be applied to various indoor sports and that many users will contribute to preventing safety accidents during exercise.
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깊이 카메라를 활용한 숄더 프레스 동작의 신뢰도 및 정확도 검증
김성민 ( Sung-min Kim ),정광석 ( Kwang-seok Jeong ),이미소 ( Mi-so Lee ),김보경 ( Bo-kyung Kim ),김지인 ( Ji-in Kim ),문제헌 ( Je-heon Moon ),김석범 ( Suk-bum Kim ) 한국융합과학회 2022 한국융합과학회 국제학술대회자료집 Vol.2022 No.0
목적: 본 연구의 목적은 깊이 카메라를 활용하여 숄더 프레스 동작의 운동학적 변인을 추출하고 이를 적외선카메라와의 비교를 통한 데이터의 신뢰도와 정확도를 검증하는데 있다. 과정: 충청북도 청주시 소재 H대학에서 주 2회 이상 웨이트 트레이닝을 하는 20대 일반 남녀 학생 53명(남: 42명, 여: 11명)을 대상으로 숄더프레스 동작을 실시하였다. 깊이 카메라(D415, Intel) 데이터는 3차원 동작분석 장비인 적외선 카메라(Miqus M3, Qualisys)에서 추출된 변인들을 기준으로 신뢰도 및 정확도를 분석하였고 총 1,272회의 데이터를 수집하여 분석하였다. 두 종류의 카메라에서 추출된 위치좌표 데이터를 통해 각각 인체의 관절각도와 각속도를 산출하였고 신뢰도 분석을 위한 피어슨 상관계수, 정확도 분석을 위한 절대평균 제곱근 오차와 최대 굴곡/신전 각도 및 각속도를 사용하여 분석하였다. 결과: 피어슨 상관계수 분석 결과 좌/우측 팔꿈치 관절각도는 각각 0.969, 0.973, 어깨관절은 각각 0.881, 0.977로 나타났다. 좌/우측 팔꿈치 관절각속도는 0.899, 0.888으로 나타났고, 어깨관절은 0.848, 0.901으로 나타났다. 절대평균 제곱근 오차에서는 좌/우측 팔꿈치관절은 9.587, 9.177 deg, 어깨관절은 14.899, 9.927 deg로 나타났다. 좌/우측 팔꿈치 관절각속도는 50.209, 50.369 deg/s, 어깨관절은 41.556, 44.459 deg/s의 차이가 나타났다. 좌/우측 무릎관절은 각각 0.423, 1.909 deg/s와 엉덩관절은 1.909, 2.034 deg/s가 나타났다. 최대/최소 각도 차이는 대부분 관절에서 통계적인 차이가 나타났고(팔꿈치 좌측: 굴곡 - p = .014, 신전 - p = .000 / 우측: 신전 - p = .021; 어깨 좌측: 굴곡 - p = .000 / 우측: 굴곡 - p = .000, 신전 - p = .000; 엉덩이 좌/우측 굴곡/신전: p = 0.000; 무릎 좌측: 굴곡 - p = .002, 신전 - p = .003 / 우측: 굴곡 - p = .012, 신전 - p = .026) 각속도의 경우 무릎관절을 제외하고 팔꿈치, 어깨, 엉덩관절에서 통계적으로 유의한 차이가 나타났다(p = .000). 결론: 깊이 카메라와 적외선 카메라로 분석한 숄더 프레스 동작의 패턴은 유사한 결과를 보였지만 절대적인 크기를 비교한 각도와 각속도에서는 통계적인 차이가 나타났다. 따라서 깊이 카메라는 움직임 패턴을 인식하는데 활용이 가능할 것으로 판단되며, 정밀 동작에 대한 평가는 조심스럽게 접근해야 할 것으로 보인다. 추후 연구에서는 정상과 비정상 동작을 수집한 후 자동으로 분류하는 알고리즘을 개발하여 실내 트레이닝장의 이용자 안전사고를 예방 측면에서 활용되길 기대한다. Purpose: The purpose of this study is to identify the accuracy and reliability of the kinematic data of the depth camera based on the infrared camera data for shoulder press. Method: A total of 53 male(n = 42) and female(n = 11) healthy students participated in this study. Depth camera (D415, Intel) data were analyzed for reliability and accuracy based on variables extracted from infrared cameras (Miqus M3, Qualisys), and a total of 1,272 data were collected. Angle and angular velocity were calculated from position data. The analysis used the Pearson correlation coefficient for reliability analysis, Root Mean Square Error(RMSE) for accuracy analysis, and max/min angle and angular velocity difference between the two cameras. Result: The reliability analysis through pearson correlation between the two cameras showed high reliability of the left and right elbow(angle: left - 0.969, right - 0.969; angular velocity: left - 0.899, right - 0.888) and shoulder joint(angle: left - 0.881, right - 0.977) for angle and angular velocity(elbow: left - 0.969, right - 0.969; shoulder: 0.848, Right: 0.901). In RMSE, the left/right elbow for angle and angular velocity appeared 9.587/9.177 deg, 50.209, 50.369 deg/s, and the shoulder joint appeared 14.899, 9.927 deg, 41.556, 44.459 deg/s, respectively. The maximum/minimum angle difference was statistically different in most joints(left elbow: flexion - p = .014, extension - p = .000 / right: extension - p = .021; left shoulder: flexion - p = .000 / right: flexion - p = .000, extension - p = .000; left/right hip flexion/extension: p = 0.000; left knee: flexion - p = .002, extension - p = .003 / right: flexion - p = .012, extension - p = .026). The angular velocity was statistically significant in the elbow, shoulder, and hip joints, except for the knee joint(p = .000). Conclusion: The pattern of shoulder press analyzed by the depth camera and the infrared camera were similar, but statistical differences were found in joint angle and angular velocity of absolute value. Therefore, the depth camera can be used to analyze movement patterns, and precise movements should be evaluated carefully. In future studies, developing an algorithm that automatically classifies normal and abnormal movement is necessary. This technology is expected to be used to prevent safety accidents at indoor sports facilities.
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휠체어 탑재 차량의 전방ㆍ측방 충돌시 휠체어 탑승자의 위험도 분석에 의한 안전성평가
김성민(Sung Min Kim),김성재(Sung Jae Kim),강태건(Tae Gun Kang),전병호(Byung Ho Jun),김경훈(Kyung Hoon Kim),문무성(Moo Sung Moon) Korean Society for Precision Engineering 2004 한국정밀공학회지 Vol.21 No.6
In this study, for a safety assessment of wheelchair occupant in frontal and side impact of wheelchair loaded vehicle, a sled impact test was perfomed. Each test was carried out total 6 times, by using Hybrid Ⅲ 50th-percentile male dummy in light weight and electric wheelchair. We estimate MC(Motion Criteria), CIC(Combined Injury Criteria), HIC(Head Injury Criteria), HNIC(Head and Neck Injury Criteria) based on measured data. Through this study, we make an assessment of risk analysis of wheelchair occupant and wheelchair. Through this study, safety standard of wheelchair is to be evaluated.
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김재인(Jaein Kim),문주영(Joo-Young Moon),이재현(Jae-Hyun Lee),박성호(Sung-Ho Park),김성민(Sung-min Kim),김동섭(Dong-Sub Kim) 한국조명·전기설비학회 2022 조명·전기설비학회논문지 Vol.36 No.1
In this paper, the short-term load forecasting for each switch is performed by graph neural network-based ST-GCN(Spatio Temporal Graph Convolution Networks) model. The proposed model can predict the hourly load by using the connection information of the automatic switch belonging to the D/L(Distribution Line). To this end, the connection information between the switches belonging to the D/L is simplified, and the load information per hour is prep-processed. Next, our model is trained by constructing a training set with the features of the four D/L, which are the experimental subjects. Finally, to verify the predictive models performance, we compared the performance of ARIMA(Auto-Regressive Integrated Moving Average) and LSTM(Long-Term Short-Term Memory). And its limitations are discussed.
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발달장애 직장인의 삶의 질에 대한 경험과 평생학습 지원 요구 탐색
김성민(Kim, Sung Min),문회원(Moon, Hoi Won) 단국대학교 특수교육연구소 2024 특수교육논총 Vol.40 No.1
Purpose: This study examined specific aspects of the quality of life(QoL) of workers with developmental disabilities, based on which extracted elements of lifelong learning support to improve their QoL. Method: In-depth interviews were conducted with 15 people in pairs of workers with developmental disabilities, their families, and co-workers, and the contents were analyzed using continuous comparative analysis. Result: Analysis of the interview data, revealed ambiguous self-image and job experiences of workers with developmental disabilities, adults with developmental disabilities who became adult family members but were still subject to support and protection, and colleagues with developmental disabilities who were not equal colleagues. Conclusion: Based on the research results, the elements of lifelong learning support for improving the QoL of workers with developmental disabilities are discussed. The results of this study can be used as basic data for developing a lifelong learning program and establishing a system to improve QoL of workers with developmental disabilities.
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