• Journal of Digital Convergence
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• v.11 no.8
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• pp.265-272
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• 2013

The purpose of this study was to provide a foundation for the methods of stretching in sports activities. The subjects were normal adults, the applied exercise was dynamic and static stretching and the research methods were measuring the jump height and muscle activity during jumping with subsequent data comparison and analysis. Twenty normal adults were randomly divided into 2 groups, and each group performed dynamic or static stretching. Jump height and the vastus lateralis and gastrocnemius muscle activities were measured during jumping, which was performed immediately before and after stretching. Statistical analysis was performed using an analysis of covariance. The results indicated that dynamic stretching was more effective than static stretching with respect to both jump height (p<.05) and muscle activity of the vastus lateralis (p<.05). Consequently, it was believed that dynamic stretching should be applied as a warm-up exercise for athletes who need to build and maintain high muscle strength.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.01a
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• pp.89-92
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• 2011

본 논문에서는 컬러 영상에 대해 삼각형 타입의 소속 함수를 적용하여 스트레칭의 상한과 하한을 동적으로 설정하고 영상을 스트레칭 하는 방법을 제안한다. 제안된 퍼지 스트레칭 방법은 평균 밝기 값을 기준으로 가장 어두운 픽셀 값과 가장 밝은 픽셀 값의 거리를 계산하여 밝기의 조정율을 결정한 후, 최소 밝기 값 및 최대 밝기 값을 구하고 삼각형 타입 소속 함수의 구간에 적용한다. 영상의 픽셀 값들을 소속 함수에 적용하여 소속도를 구하고 cut를 적용하여 가장 낮은 픽셀 값을 스트레칭 하한으로 가장 높은 픽셀 값을 스트레칭 상한으로 설정하여 컬러 영상을 스트레칭 한다. 다양한 영상에 적용한 결과, 기존의 스트레칭 방법보다 제안된 퍼지 스트레칭 방법이 효율적인 것을 확인하였다.

• Journal of Korean Physical Therapy Science
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• v.5 no.3
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• pp.675-689
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• 1998

The purpose of this study was to determine the efficient way of stretching technique from three methods, and of stretching duration and frequency. Sretching is known to improve musculotendinous flexibility and joint suppleness, and employed in many warm-up routines during physical activities and athletic performances. The benefits and the rationale of stretching have been reviewed. Many authors agree that, for the best results, static stretching has to be held for approximately 30 sec. in a trial, three trials in a session, at least three times a week for four weeks. Further clinical studies are required for elucidating more informations on this subject.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.59-62
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• 2021

본 논문에서는 사다리꼴 형태의 소속 함수를 적용하여 스트레칭 하는 과정에서 상한과 하한을 FCM 기반 양자화 기법을 적용하여 동적으로 조정하는 퍼지 스트레칭 기법을 제안한다. 제안된 퍼지 스트레칭 기법은 FCM 기반 양자화 기법을 적용하여 각 클러스터를 생성하고 생성된 각 클러스터의 중심에 해당되는 명암도를 이용하여 사다리꼴 형태의 소속 함수의 구간을 설정한다. 그리고 설정한 구간 정보를 이용하여 스트레칭을 위한 상한과 하한을 구하여 영상을 스트레칭 한다. 제안된 FCM 양자화 기반 퍼지 스트레칭 기법의 성능을 분석하기 위해서 명암도 분포가 좁고 명암 대비가 낮은 결절종 초음파 영상과 컨테이너 영상을 대상으로 실험하였다. 실험 결과에서도 알 수 있듯이 기존의 히스토그램 스트레칭 기법과 삼각형 형태의 소속 함수를 적용한 퍼지 스트레칭 기법보다 명암 대비가 향상되었다. 결절종 초음파 영상에서는 결절종 영역과 그 외의 영역 간의 명암 대비가 뚜렷하게 나타나서 결절종 추출에 효과적인 것을 확인하였고 컨테이너 영상에서는 컨테이너 데미지를 추출하는데 필요한 컨테이너 굴곡선 등과 같은 특징이 다른 기법들에 비해 선명하게 나타났다.

• Journal of the Korea Society of Computer and Information
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• v.18 no.5
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• pp.19-23
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• 2013

TIn this paper, we propose a novel fuzzy stretching method that adopts a triangle type fuzzy membership function to control the highest and lowest brightness limit dynamically. As an essential procedure to enhance the brightness contrast, stretching is an important procedure in color image processing. While popular Ends-in Search stretching method should be provided fixed minimum and maximum brightness threshold from experience, our proposed method determines them dynamically by fuzzy membership functions. The minimum and maximum limit is determined by computing the lowest and highest pixel value according to the membership degree of our designed triangle type membership function. The experiment shows that the proposed method result in far less skewed histogram than those of Ends-in Search stretching thus successfully verifies its effectiveness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4676-4685
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• 2012

We investigated to compare the effects of a low intensity eccentric exercise and dynamic stretching on symptoms of delayed onset muscle soreness (DOMS). The eighteen women who had not participated in a regular exercise programme for the lower extremities in the previous five months were randomly assigned to one of three experimental groups: control group, a low intensity eccentric exercise group and dynamic stretching group. We measured the joint range of motion (ROM), maximal voluntary isometric exercise (MVIC), muscle soreness rating scale and ultrasound image measurement before eccentric exercise inducing DOMS, and 24, 48, and 72 hours after an eccentric exercise inducing DOMS. The exercise programme in a low intensity eccentric exercise group and dynamic stretching group were respectively performed 3 times a week for 4 weeks before eccentric exercise inducing DOMS. There was significantly different between the groups in muscle soreness rating scale and MVIC (p<.05). However, there was not significantly different between groups in ultrasound image measurement and ROM (p<.05). These results suggest that a low intensity eccentric exercise group and dynamic stretching group effectively reduced muscle soreness rating scale out of the symptoms of DOMS. A low intensity eccentric exercise group may be an effective improvement than dynamic stretching group in muscle soreness rating scale.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.524-526
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• 2016

본 논문에서는 클러스터의 개수를 다양하게 설정하여 누적된 변화율이 가장 작은 변화율을 가진 클러스터 개수를 동적으로 설정하는 방법을 제안하여 백내장 영역을 추출하는 방법을 제안한다. 제안된 백내장 추출 방법은 애견 안구 영상에서 관심 영역을 ROI 영역으로 설정한다. 설정된 ROI 영역에 퍼지 스트레칭 기법을 적용하여 픽셀의 상한 값과 하한 값을 조정한다. 퍼지 스트레칭 기법이 적용된 ROI 영역에서 FCM 알고리즘을 적용하여 클러스터 소속 행렬의 중심 값의 변화율이 가장 적은 개수를 최적의 클러스터 개수로 설정하여 ROI 영역을 양자화 한다. 양자화된 ROI 영역에서 침식 및 팽창 기법을 적용하고 ROI 영역의 면적을 기준으로 1/5보다 적은 면적을 가진 객체를 잡음으로 간주하여 제거한다. 잡음이 제거된 ROI 영역에서 ROI 면적의 3/5이상인 영역을 가진 안구 객체를 백내장 영역으로 추출한다. 제안된 방법의 효율성을 분석하기 위해서 애견 안구 영상을 대상으로 실험한 결과, 기존의 FCM을 적용하여 ROI 영역을 양자화 하는 처리 시간보다 제안된 클러스터 수 설정 기반 FCM을 적용한 양자화 방법이 처리 시간이 적게 소요되고 객체들을 정확히 분류하는 것을 실험을 통하여 확인하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.10
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• pp.1852-1859
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• 2016

The effectiveness of a binarization algorithm in image processing depends on how to eliminate the uncertainty of determining threshold in a reasonable way and on minimizing information loss due to the binarization effect. Fuzzy binarization technique was proposed to handle that uncertainty with fuzzy logic. However, that method is known to be inefficient when the given image has low intensity contrast. In this paper, we propose an improved fuzzy binarization method to overcome such known drawbacks. Our method proposes a trapezoid type fuzzy membership function instead of most-frequently used triangle type one. We also propose an adaptive ${\alpha}$_cut determination policy. Our proposed method has less information loss than other algorithms since we do not use any stretching based preprocessing for enhancing the intensity contrast. In experiment, our proposed method is verified to be more effective in binarization with less information loss for many different types of images with low intensity contrast such as night scenery, lumber scoliosis, and lipoma images.

• The Journal of the Acoustical Society of Korea
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• v.37 no.6
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• pp.475-482
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• 2018

In this paper, we present a study on data augmentation methods for DNN (Deep Neural Network)-based audio tagging. In this system, an audio signal is converted into a mel-spectrogram and used as an input to the DNN for audio tagging. To cope with the problem associated with a small number of training data, we augment the training samples using time stretching, pitch shifting, dynamic range compression, and block mixing. In this paper, we derive optimal parameters and combinations for the augmentation methods through audio tagging simulations.

• Journal of the Korean Society of Physical Medicine
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• v.9 no.4
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• pp.447-454
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• 2014

PURPOSE: The aim of this study was to determine the effect of inclination treadmill training with dynamic stretching on the spasticity and gait of chronic stroke patients. METHODS: Twenty two subjects were randomly assigned to either an experimental group (EG, n=11) or a control group (CG, n=11). Both groups participated in a standard rehabilitation program; in addition, the EG participated in inclination treadmill training for 20 min per day, five times per week, for 4 weeks, and the CG participated in treadmill walking training for 20 min per day, five times per week, for 4 weeks. Outcome measurements, recorded before and post intervention. Walking ability was measured using the 10m walking test (10MWT) and Timed up and go (TUG) test. Spasticity of the medialis gastrocnemius was measured using a myotonometer. RESULTS: Significant differences were observed the both groups for walking ability and spasticity after the training program. The results of the study were follows: 10MWT and TUG was significantly increased in both groups (p<0.05) and it was also found to be significant between groups after intervention (p<0.05). Spasticity was significantly increased in both groups (p<0.05) and it was also found to be significant between the groups after intervention (p<0.05). CONCLUSION: These findings indicate that inclination treadmill training improves gait ability and reduces spasticity of the medialis gastrocnemius. Inclination treadmill training may be used as an easy, effective and accessible way to improve the walking ability and decrease spasticity in stroke patients. Further studies are necessary to generalize the findings of this study.