• 대한한의학회지
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• 제28권4호
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• pp.148-157
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• 2007

Background & Objective: Articular cartilage is a potential target for drugs designed to inhibit the activity of matrix metalloproteinases (MMPs) to stop or slow the destruction of the proteoglycanand collagen in the cartilage extracellular matrix. The purpose of this study was to investigate the effects of Cinnamomum cassia in inhibiting the release of glycosaminoglycan (GAG), the degradation of collagen, and MMP activity in rabbit and human articular cartilage explants. Methods: The cartilage-protective effects of Cinnamomum cassia were evaluated by using glycosaminoglycan degradation assay, collagen degradation assay, colorimetric analysis of MMP activity, measurement of lactate dehydrogenase activity and histological analysis in rabbit cartilage explants culture. Results: Interleukin-1a (IL-1a) rapidly induced GAG, but collagen was much less readily released from cartilage explants. Cinnamomum cassia significantly inhibited GAG and collagen release in a concentration-dependent manner. Cinnamomum cassia dose-dependently inhibited MMP-1, MMP-3 and MMP-13 activities from IL-1a-treated cartilage explants culture when tested at concentrations ranging from 0.02 to 1 mg/ml. Conclusion : These results indicate that Cinnamomum cassia inhibits the degradation of proteoglycan and collagen through the down regulation of MMP-1, MMP-3 and MMP-13 activities of IL-1a-stimulated rabbit and human articular cartilage explants.

• 한국전자파학회논문지
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• 제30권2호
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• pp.169-172
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• 2019

FMCW 배열 안테나는 저비용 고해상도라는 장점 때문에 많은 분야에 널리 사용되고 있다. FMCW 배열을 이용하여 표적의 거리와 각도를 추정하기 위해서, 우선 deramped 수신신호로부터 거리-각도 행렬을 구성하고, 그 다음에 거리-각도 행렬에 2D-FFT와 같은 2차원 주파수 추정기법을 적용한다. 하지만, 이러한 주파수 추정기법은 bias 오차를 발생시키게 된다. 그 이유는 거리-각도 행렬의 두 개의 주파수가 서로 독립적이지 않기 때문이다. 따라서 FMCW 배열 안테나를 이용하여 표적의 거리-각도 동시추정을 위한 최대우도 기반 알고리즘을 제안하고, 거리와 각도 추정에 있어서 Cramer-Rao bound에 도달함을 보인다.

• Journal of Acupuncture Research
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• 제22권2호
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• pp.191-201
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• 2005

Background & Objective: Articular cartilage is a potential target for drugs designed to inhibit the activity of matrix metalloproteinases (MMPs) to stop or slow the destruction of the proteoglycan and collagen in the cartilage extracellular matrix. The purpose of this study was to investigate the effects of Aralia cordata Thunb. in inhibiting the release of glycosaminoglycan (GAG), the degradation of collagen, and MMP activity in rabbit articular cartilage explants. Methods : The cartilage-protective effects of Aralia cordata Thunb. were evaluated by using glycosaminoglycan degradation assay, collagen degradation assay, colorimetric analysis of MMP activity, measurement of lactate dehydrogenase activity and histological analysis in rabbit cartilage explants culture. Results : Interleukin-la (IL-1a) rapidly induced GAG, but collagen was much less readily released from cartilage explants. Aralia cordata Thunb. significantly inhibited GAG and collagen release in a concentration-dependent manner. Aralia cordata Thunb. dose-dependently inhibited MMP-3 and MMP-13 expression and activities from IL-1a-treated cartilage explants cultures when tested at concentrations ranging from 0.02 to 0.2 mg/ml. Aralia cordata Thunb. had no harmful effect on chondrocytes viability or cartilage morphology in cartilage explants. Histological analysis indicated that Aralia cordata Thunb. reduced the degradation of the cartilage matrix compared with that of IL -1a-treated cartilage explants.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.831-836
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• 1994

This paper presents rational modeling and analysis method for complex structures with various structural joints. For modeling of structural joint, a general modeling technique is newly proposed by flexibility influence coefficient and inverse of flexibility matrix and static reduction concept which is applied to the retained DOFs(degrees of freedom) of detailed finite element model of struction joints. By this method,joint model with contact surface. which can not be reduced by the general reduction theory such as Guyan reduction theory ,can be reduced effectively. And in this method, the nonlinearity of the contact surface can be linearized within a proper range and the boundary effects of joint region can be excluded. Using the proposed method, screwed joint,glued joint and bolted joint are analyzed. And the effectiveness of the proposed method is verified by experiments.

• 한국임상수의학회지
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• 제18권3호
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• pp.304-310
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• 2001

The joint disease including osteoarthris (OA) and rheumatoid arthritis (RA) are common in the horse. Many studies have been performed to develop biochemical markers reflecting the abnormalities of cartilage and synovial membrane. However, no specific, sensitive and clinically well established assay systems have been yet available to characterize the severity of joint diseases. Indeed, radiography is still doctor's best choice of assessing joint damage in OA/RA. This review focuses on biochemical molecules such as proteoglycan, collagen, matrix metalloproteinases (MMPs), lectin and cytokine to assess their potential value for not only predicting stage of joint disease but also monitoring treatment efficacy.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.785-796
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• 2019

Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.418-429
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• 2018

This paper studies the decentralized position/force control problem for constrained reconfigurable manipulator without torque sensing. A novel joint torque estimation scheme that exploits the existing structural elasticity of the manipulator joint with harmonic drive model is applied for each joint module. Based on the estimated joint torque and dynamic output feedback technique, a decentralized position/force control strategy is presented. In order to solve the problem of controller parameter perturbation, the non-fragile robust technique is introduced into the dynamic output feedback controller. Subsequently, the stability of the closed-loop system is proved using the Lyapunov theory and linear matrix inequality (LMI) technique. Finally, two 2-DOF constrained reconfigurable manipulators with different configurations are applied to verify the effectiveness of the proposed control scheme in numerical simulation.

• Journal of the Korean Data and Information Science Society
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• 제26권4호
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• pp.1027-1034
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• 2015

A control chart is very useful in monitoring various production process. There are many situations in which the simultaneous control of two or more related quality variables is necessary. When the joint distribution of the process variables is multivariate normal, multivariate Shewhart control charts using the function of the maximum likelihood estimator for monitoring the dispersion matrix are considered for the simultaneous monitoring of the dispersion matrix. The performances of the multivariate Shewhart control charts based on the proposed control statistic are evaluated in term of average run length (ARL). The performance is investigated in three cases, where the variances, covariances, and variances and covariances are changed respectively. The numerical results show that the performances of the proposed multivariate Shewhart control charts are not better than the control charts using the trace of the covariance matrix in the Jeong and Cho (2012) in terms of the ARLs.

• Journal of the Korean Data and Information Science Society
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• 제28권4호
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• pp.937-945
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• 2017

The purpose of using a control chart is to detect any change that occurs in the process. When control charts are used to monitor processes, we want to identify this changes as quickly as possible. Many problems in quality control involve a vector of observations of several characteristics rather than a single characteristic. Multivariate CUSUM or EWMA charts have been developed to address the problem of monitoring covariance matrix or the joint monitoring of mean vector and covariance matrix. However, control charts tend to work poorly when we use the highly correlatted variables. In order to overcome it, Hawkins (1991) proposed the use of regression adjustment variables. In this paper, to monitor covariance matrix, we investigate the performance of MEWMA-type control charts with and without the use of regression adjusted variables.

• 제어로봇시스템학회논문지
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• 제10권5호
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• pp.395-401
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• 2004

We present an AILC(Adaptive Iterative Learning Control) scheme and a sufficient condition for system parameter identification for uncertain robotic systems that perform the same tasks repetitively. It is guaranteed that the joint velocity and position asymptotically converge to the reference joint velocity and position, respectively. In addition, it is proved that a sufficient condition for parameter identification is the PE(Persistent Excitation) condition on the regressor matrix evaluated at the reference trajectory during the operation period. Since the regressor matrix on the reference trajectory can be easily computed prior to the real robot operation, the proposed algorithm provides a useful method to verify whether the parameter error converges to zero or not.