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겔 상태의 미세 잠열 축열재 혼합수의 기액직접접촉식 열교환법에 의한 방열 특성
김명준 한국마린엔지니어링학회 2004 한국마린엔지니어링학회지 Vol.28 No.4
This paper has dealt with the heat storage characteristics of gel type micro size latent heat storage material slurry. The heat release operation to the gel type micro size latent heat storage material slurry was carried out using hot air bubbles by direct contact heat exchange. This experiment was carried out using phase change material of n-paraffin so the heat release amount is higher than cold water system. The parameters of this experiment were concentration of latent heat phase change material, height of heat release bath and inlet velocity of hot air. The main results obtained are as follows : (1) The effect of concentration of latent heat phase change material dispersed with water is very affective to the direct contact heat exchange between hot air and gel type micro size latent heat storage material slurry. (2) It is clarified that the most effective concentration of latent heat phase change material dispersed with water exists around 20mass% at this type of direct heat exchange model experiment.
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김명준 대한물리치료학회 2020 대한물리치료학회지 Vol.32 No.3
Purpose: Gait and cognitive impairment in stroke patients exacerbate fall risk and mobility difficulties during multi-task walking. Virtual reality can provide interesting and challenging training in a community setting. This study evaluated the effect of community-based virtual reality gait training (VRGT) using a 360-degree image on the gait ability of chronic stroke patients. Methods: Forty-five chronic stroke patients who were admitted to a rehabilitation hospital participated in this study. Patients meeting the selection criteria were randomly divided into a VRGT group (n=23) and a control group (n=22). Both these groups received general rehabilitation. The VRGT group was evaluated using a 360-degree image that was recorded for 50 minutes a day, 5 days per week for a total of 6 weeks after their training. The control group received general treadmill training for the same amount of time as that of the VRGT group. The improvement in the spatiotemporal parameters of gait was evaluated using a gait analyzer system before and after training. Results: The spatiotemporal gait parameters showed significant improvements in both groups compare with the baseline measurements (p<0.05), and the VRGT group showed more improvement than the control group (p<0.05). Conclusion: Community-based VRGT has been shown to improve the walking ability of chronic stroke patients and is expected to be used in rehabilitation of stroke patients in the future.
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다수의 인조피부를 이용한 파우더 고유색 측정 및 도포 패턴 표현이 가능한 메이크업 시뮬레이션
김명준,Kim, Myoung-Jun 한국정보통신학회 2015 한국정보통신학회논문지 Vol.19 No.8
본 논문은 파우더 메이크업 효과를 시뮬레이션 하는 새로운 방법을 제안한다. 간단하면서도 사실적인 색상을 표현할 수 있는 색상 발현 모델을 고안하고, 여러 색상의 인조스킨에 파우더를 도포한 사진 이미지 분석에 색상모델을 적용하여 파우더 고유의 투과색 및 도포 두께를 추출하였다. 또한, 실제 사람 피부에 도포된 파우더 도포 두께 패턴을 추출하고 이를 다른 사람의 사진 상에서 메이크업 시뮬레이션 하는 데 사용하여 파우더의 질감을 실감 있게 표현하였다. 실험 결과 제안된 메이크업 시뮬레이션은 사실적인 색감과 질감을 나타낸 것으로 평가되었으며, 파우더 색상을 가상으로 테스트 하는 데 사용할 수 있을 것으로 기대한다. This paper presents a novel makeup simulation method for powder application. We propose a color appearance model for powder coated skin that is simple but yet capable of producing realistic visual results. From the photos of several artificial skins before and after powder application, the translucency and thickness parameters are achieved by fitting the color model to the photos. Thickness patterns of powder application on actual human face skin is also extracted, and used in makeup simulations on photos of different human face to give more visually appealing results. From experiments, we found that the simulation results are quite realistic, and expect that the proposed makeup simulation can be used as a virtual coloring test in the cosmetic labs.
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오차항과 러닝 기법을 활용한 예측진단 시스템 개선 방안 연구
김명준,박영호,김태규,정재석 한국품질경영학회 2019 품질경영학회지 Vol.47 No.4
Purpose: The purpose of this study is to apply the machine and deep learning methodology on error terms which are continuously auto-generated on the sensors with specific time period and prove the improvement effects of power generator prediction diagnosis system by comparing detection ability. Methods: The SVM(Support Vector Machine) and MLP(Multi Layer Perception) learning procedures were applied for predicting the target values and sequentially producing the error terms for confirming the detection improvement effects of suggested application. For checking the effectiveness of suggested procedures, several detection methodologies such as Cusum and EWMA were used for the comparison. Results: The statistical analysis result shows that without noticing the sequential trivial changes on current diagnosis system, suggested approach based on the error term diagnosis is sensing the changes in the very early stages. Conclusion: Using pattern of error terms as a diagnosis tool for the safety control process with SVM and MLP learning procedure, unusual symptoms could be detected earlier than current prediction system. By combining the suggested error term management methodology with current process seems to be meaningful for sustainable safety condition by early detecting the symptoms.
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