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김준형(Jun-Hyoung Kim),서혜영(Hye-Young Seo),노기미(Ki-Mi No),한병재(Byung-Jae Han),이성진(Seong-Jin Lee),서유석(Yu-Seog Seo),김경수(Kyong-Su Kim) 한국식품영양과학회 2005 한국식품영양과학회지 Vol.34 No.2
SDE 추출방법과 GC/MS 분석에 의하여 동결건조한 양파의 휘발성 유기성분변화를 비교 분석하였다. 생양파와 동결 건조양파에서 각각 40와 31종의 화합물이 확인되었으며, 이들은 ester류, aldehyde류, ketone류, alcohol류, 함황화합물류이었다. 함황화합물류들이 생양파와 동결건조 양파에서 주요 화합물로 가장 많은 함량을 차지하였고, 이 중 1-propanethiol과 dipropyl trisulfide, methyl propyl tirsulfide, dimethyl trisulfide는 생양파와 동결건조 양파에서 모두 다량 확인되었다. 생양파에서 주요 성분으로 확인되었던 1-propanethiol, dipropyl trisulfide는 동결건조 양파에서 매우 감소되었고, methyl propyl trisulfide, methyl propyl disulfide 역시 같은 경향을 보였다. Methyl allyl sulfide, propyl ally sulfide, dially disulfide 그리고 3,5-diethyl-1,2,4-trithiolane등의 함황화합물과 propanol, pentanol, hexanol 등의 alcohol류 등은 생양파에서 확인되었으나 동결건조 양파에서 확인되지 않았다. 이러한 결과를 통하여 양파의 건조과정 중 특징적인 휘발성 유기성분의 구성변화와 특성의 손실 그리고 효소 불활성화로 인한 휘발성 성분의 불완전한 생성 등을 알 수 있었다. 또한 동결건조 양파에서 ethyl acetate, dimethyl disulfide와 2-methyl-2-pentenal은 생양파에서보다 그 함량이 증가되었고, (Z)-propenyl methyl disulfide와 (E)-propenyl methyl disulfide 또한 동결건조 양파에서 증가되어짐을 확인하였다. Volatile organic components from fresh and freeze-dried onions were extracted by SDE apparatus and analyzed by GC/MS. Components of 40 and 31 were identified in fresh and freeze-dried onions respectively. These components included esters, aldehydes, ketones, alcohols and S-containing compounds. Major compounds of S-containing compounds such as 1-propanethiol, dipropyl trisulfide, and methyl propyl trisulfide in fresh onions were clearly decreased in freeze-dried onions. Then, S-containing compounds such as methyl allyl sulfide, propyl ally sulfide, dially disulfide and 3,5-diethyl-1,2,4-trithiolane and alcohols such as pentanol, hexanol and propanol were disappeared by freeze-drying. Exceptionally, ethyl acetate, dimethyl disulfide and 2-methyl-2-pentenal were increased as different trend with major S-containing compounds. (Z)-Propenyl methyl disulfide and (E)-propenyl methyl disulfide were also changed by freeze-drying in the similar pattern as mentioned above compounds.
김준형(Jun Hyoung Kim),김선명(Seon Myeong Kim),김철(Cheol Kim) 대한기계학회 2010 대한기계학회 춘추학술대회 Vol.2010 No.3
형상기억합금은 지능형 재료와 구조물에 널리 쓰인다. 큰 힘과 변위를 발생시키는 것이 특징이며 작동기, 소음 및 진동감쇠, 동역학적 튜닝, 형상의 변형 제어 등의 다양한 분야에 응용될 수 있다. 본 논문에서는 형상기억합금튜브와 초탄성 스프링으로 구성된 형상기억합금 비틀림 작동기를 제안하였고 각각의 거동 특성을 알아보았다. 열전달 해석을 통해 저항열과 히터의 열을 동시에 형상기억합금튜브에 가하면 작동기의 성능을 더 향상시킬 수 있음을 확인하였다. 접촉 해석으로는 실제 작동기의 거동을 시뮬레이션하였고 정상적으로 작동함을 알 수 있었다. 3 차원 형상기억합금의 거동을 표현하기 위해 비선형 구성방정식을 유한요소법으로 풀고 ABAQUS의 U-MAT기능을 이용하여 비선형 해석을 수행하였다. The shape memory alloy (SMA) is smart materials. The SMA unique characteristics producing large force and displacement can be used for many applications such as an actuator, an active structure-acoustic controller, dynamic tuning, and shape control. A SMA torque tube actuator consisting of SMA tubes and superelastic springs is proposed and behaviors of the actuator are investigated. From heat transfer analysis it is proved that the performance of the SMA tube actuator with both resistive heating of SMA itself and a separate normal heating rod in the tube core is much improved. The behavior of an actuator system was analyzed by contact analysis and the twisting motion was noticed in the actuation check. 3D SMA nonlinear constitutive equations was formulated numerically and implemented by U-MI\T of ABAQUS with a nonlinear analysis.
김준형(Jun Hyoung Kim),김철(Cheol Kim) 대한기계학회 2010 大韓機械學會論文集A Vol.34 No.8
형상기억합금은 지능형 재료와 구조물에 널리 쓰인다. 큰 힘과 변위를 발생시키는 것이 특징이며 작동기, 소음 및 진동감쇠, 동역학적 튜닝, 형상의 변형 제어 등의 다양한 분야에 응용될 수 있다. 본 논문에서는 형상기억합금튜브와 초탄성 스프링으로 구성된 형상기억합금 비틀림 작동기를 제안하였고 각각의 거동 특성을 알아보았다. 열전달 해석을 통해 저항열과 히터의 열을 동시에 형상기억합금튜브에 가하면 작동기의 성능을 더 향상시킬 수 있음을 확인하였다. 접촉 해석으로는 실제 작동기의 거동을 시뮬레이션하였고 정상적으로 작동함을 알 수 있었다. 3 차원 형상기억합금의 거동을 표현하기 위해 비선형 구성방정식을 유한요소법으로 풀고 ABAQUS 의 U-MAT 기능을 이용하여 비선형 해석을 수행하였다. Shape memory alloys (SMAs) are smart materials. The unique characteristics of SMAs enable the production of large force and displacement. Hence, SMAs can be used in many applications such as in actuators and active structural acoustic controllers; the SMAs can also be used for dynamic tuning and shape control. A SMA torque tube actuator consisting of SMA tubes and superelastic springs is proposed, and the behaviors of the actuator are investigated. From the results of heat transfer analysis, it is proved that the SMA torque tube actuator with both resistive heating of SMA itself and a separate conventional heating rod in the tube core has good performance. The behavior of an actuator system was analyzed by performing a contact analysis, and the twisting motion was noticed when checking the actuation. 3D SMA nonlinear constitutive equations were formulated numerically and implemented by performing a nonlinear analysis by using Abaqus UMAT.
골격 특징 및 색상 유사도를 이용한 가축 도난 감지 시스템
김준형(Jun Hyoung Kim),주영훈(Yung Hoon Joo) 대한전기학회 2018 전기학회논문지 Vol.67 No.4
In this paper, we propose a livestock theft detection system through moving object classification and tracking method. To do this, first, we extract moving objects using GMM(Gaussian Mixture Model) and RGB background modeling method. Second, it utilizes a morphology technique to remove shadows and noise, and recognizes moving objects through labeling. Third, the recognized moving objects are classified into human and livestock using skeletal features and color similarity judgment. Fourth, for the classified moving objects, CAM (Continuously Adaptive Meanshift) Shift and Kalman Filter are used to perform tracking and overlapping judgment, and risk is judged to generate a notification. Finally, several experiments demonstrate the feasibility and applicability of the proposed method.
형태학적 특징 기반 모델을 이용한 가축 도난 판단 시스템
김준형(Jun Hyoung Kim),주영훈(Yung Hoon Joo) 대한전기학회 2018 전기학회논문지 Vol.67 No.4
In this paper, we propose a classification and theft detection system for human and livestock for various moving objects in a barn. To do this, first, we extract the moving objects using the GMM method. Second, the noise generated when extracting the moving object is removed, and the moving object is recognized through the labeling method. And we propose a method to classify human and livestock using model formation and color for the unique form of the detected moving object. In addition, we propose a method of tracking and overlapping the classified moving objects using Kalman filter. Through this overlap determination method, an event notifying a dangerous situation is generated and a theft determination system is constructed. Finally, we demonstrate the feasibility and applicability of the proposed system through several experiments.