http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
PNF 목 패턴을 병행한 체간안정로봇훈련이 만성 뇌졸중 환자의 체간 안정성 및 균형능력에 미치는 영향
문현민,김동훈 대한고유수용성신경근촉진법학회 2021 PNF and Movement Vol.19 No.1
Purpose: The purpose of the study was to identify the effects of proprioceptive neuromuscular facilitation (PNF) training and robot rehabilitation training on trunk stability and standing balance in individuals with chronic stroke. Methods: There were 30 patients with chronic stroke, divided into two groups: 15 subjects who received PNF and robot training (the experimental group) and 15 subjects who received standard conservative training (the control group), that participated. The experimental group received treatment for 60 min: 30 min of conventional physical therapy, 15 min of PNF training, and 15 min of robot training. The control group received conventional physical therapy for 60 min. Trunk stabilization (trunk impairment scale) and standing balance (center of pressure, limit of stability, modified functional reach test, and Berg balance scale) were measured before and after intervention. Results: Within each group, both the experimental and control groups significantly improved after the intervention in all tests; however, the experimental group showed greater improvement in scores on the trunk impairment scale, the center of pressure, the limit of stability, the modified functional reach test, and the Berg balance scale. Conclusion: The study verified that PNF training and robot training had a positive influence on trunk stability and standing balance indices in patients with chronic stroke. .
직류 차단기에 대한 Black-box 아크 모델 적용성 평가 및 아크 특성 매개 변수 비교 분석
문현민,박규훈,권일,이방욱 대한전기학회 2020 전기학회논문지 Vol.69 No.12
Analyzing the arc interruption phenomena of circuit breakers, physical arc model is generally used, but its analysis and applications is complex because it requires understanding a lot of physical parameters such as thermodynamics and mathematical equations which occur during arc interruption process. But the black box model which simulate the dynamic arc behaviour and its interaction with network could be conveniently used to extract essential parameters to determine the performance of the circuit breaker. Black box arc model could represent the non-linear characteristics of the arc using differential equations based on the conductivity of the arc. In order to develop reliable DC circuit breaker which don’t have a natural current zero point, a transient analysis of the non-linear arc characteristics occurring during interruption is needed. In previous studies, black box arc models have been used to analyze AC arc characteristics, and there are few study applying it to DC circuit breakers. This paper simulates the applicability evaluation for DC circuit breakers using KEMA and Habedank black box arc models based on the actual DC circuit breaker test data sheet. Parameters of the black box arc model were determined by performing Parameter Sweep for the main factors, such as interrupting time, arc voltage, and arc time constant. As a result, the applicability of the black box arc model to the DC circuit breaker was verified by predicting the DC arc behavior, and more suitable model for the DC circuit breaker was suggested by comparing the DC arc waveforms.
김기준,박재형,문현민,이하은,이승대 한국전자통신학회 2023 한국전자통신학회 논문지 Vol.18 No.6
Due to the acceleration of urbanization and advancements in technology, the importance of information related to indoor spaces has been increasing. Various scanning technologies are being developed to enable versatile utilization of the interior of buildings. In this paper, a system is proposed that utilizes 2D LIDAR for scanning, rotating, and moving LIDAR in the vertical direction to obtain a collection of 2D data, which is then aggregated to acquire 3D indoor spatial information. Finally, algorithms, including error correction, are applied to visualize the indoor structure in three dimensions and generate an output.