• 생명과학회지
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• 제33권12호
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• pp.1062-1073
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• 2023

우울증은 개인과 사회에 부정적인 영향을 미치는 흔한 정신질환이지만 그 원인은 아직 명확히 밝혀져 있지 않다. 스트레스는 우울증의 주요 위험인자이며, 염증을 유발하여 우울증에 대한 취약성을 증가시키는 것으로 알려져 있다. 수많은 연구는 우울증과 염증의 강한 연관성을 제안하고 있다. 우울증 환자 혈액에서는 IL-1β, IL-6, IL-12, TNF-α 및 IFN-γ와 같은 친염증성 사이토카인이 증가하였으며, IL-4, IL-10 및 TGF-β와 같은 항염증성 사이토카인이 감소하였다. 설치류에 친염증성 사이토카인을 투여하면 우울 유사 행동이 관찰되는 반면, 항염증제를 투여하면 우울 증상이 완화된다. 이러한 연구들은 우울증의 병인에 염증의 중요성을 강조하고 있다. 우울증에서 염증이 활성화되는 기전에 관한 다양한 연구들이 진행되고 있다. 최근 연구에서는 스트레스로 유발되는 무균 염증의 중요성을 밝히고 있다. 병원균의 감염이 없는 상태에서 신체 및 심리적 스트레스로 인해 염증 과정이 활성화되는 것을 무균 염증이라 한다. 스트레스는 무균 염증을 활성화하기 위해 DAMPs (damage-associated molecular patterns)로 알려진 내인성 인자의 방출을 촉진시키며, 방출된 DAMPs는 해당 수용체인 PRRs (pattern recognition receptors)에 결합함으로서 신호전달을 통해 친염증성 사이토카인 생성을 증가시킨다. 본 종설에서 무균 염증의 조절 장애에 대한 전임상 및 임상 증거를 바탕으로 우울증에서 DAMP의 역할을 검토하고자 한다.

• Smart Structures and Systems
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• 제17권2호
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• pp.167-194
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• 2016

This paper investigates the Synergetics based Damage Detection Method (SDDM) for frame structures by using surface-bonded PZT (Lead Zirconate Titanate) patches. After analyzing the mechanism of pattern recognition from Synergetics, the operating framework with cooperation-competition-update process of SDDM was proposed. First, the dynamic identification equation of structural conditions was established and the adjoint vector (AV) set of original vector (OV) set was obtained by Generalized Inverse Matrix (GIM).Then, the order parameter equation and its evolution process were deduced through the strict mathematics ratiocination. Moreover, in order to complete online structural condition update feature, the iterative update algorithm was presented. Subsequently, the pathway in which SDDM was realized through the modified Synergetic Neural Network (SNN) was introduced and its assessment indices were confirmed. Finally, the experimental platform with a two-story frame structure was set up. The performances of the proposed methodology were tested for damage identifications by loosening various screw nuts group scenarios. The experiments were conducted in different damage degrees, the disturbance environment and the noisy environment, respectively. The results show the feasibility of SDDM using piezoceramic sensors and actuators, and demonstrate a strong ability of anti-disturbance and anti-noise in frame structure applications. This proposed approach can be extended to the similar structures for damage identification.

• 한국전산구조공학회논문집
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• 제19권2호
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• pp.125-138
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• 2006

교량의 손상추정을 위한 구조계 규명기법은 신호취득시스템 및 정보처리기술의 발전과 함께 최근에 많은 연구개발이 이루어지고 있다. 신경망기법이나 유전자 알고리즘과 같은 소프트컴퓨팅 기법은 뛰어난 패턴인식성능 때문에 손상추정 문제에 활발히 활용되고 있다. 본 연구에서는 모드계수를 활용한 신경망기법기반 손상추정을 수행하였으며, 신경망을 훈련시키기 위한 훈련패턴을 생성하는 해석모델에서의 불확실성을 효과적으로 고려할 수 있는 방법을 제시하였다. 해석모델의 불확실성 대하여 민감하지 않은 입력자료인 손상 전 후의 모드형상의 차 또는 모드형상의 비를 신경망의 입력자료로 활용하였다. 단 순보와 다주형교량에 대한 수치예제를 통하여 본 연구에서 제시한 기법의 타당성 및 적용성을 검증하였다.

• Smart Structures and Systems
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• 제14권3호
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• pp.377-395
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• 2014

Vibration-based fault detection and condition monitoring of rotating machinery, using statistical process control (SPC) combined with statistical pattern recognition methodology, has been widely investigated by many researchers. In particular, the discrete wavelet transform (DWT) is considered as a powerful tool for feature extraction in detecting fault on rotating machinery. Although DWT significantly reduces the dimensionality of the data, the number of retained wavelet features can still be significantly large. Then, the use of standard multivariate SPC techniques is not advised, because the sample covariance matrix is likely to be singular, so that the common multivariate statistics cannot be calculated. Even though many feature-based SPC methods have been introduced to tackle this deficiency, most methods require a parametric distributional assumption that restricts their feasibility to specific problems of process control, and thus limit their application. This study proposes a nonparametric multivariate control chart method, based on multiscale wavelet scalogram (MWS) features, that overcomes the limitation posed by the parametric assumption in existing SPC methods. The presented approach takes advantage of multi-resolution analysis using DWT, and obtains MWS features with significantly low dimensionality. We calculate Hotelling's $T^2$-type monitoring statistic using MWS, which has enough damage-discrimination ability. A bootstrap approach is used to determine the upper control limit of the monitoring statistic, without any distributional assumption. Numerical simulations demonstrate the performance of the proposed control charting method, under various damage-level scenarios for a bearing system.

• 복식
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• 제57권7호
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• pp.108-121
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• 2007

The purpose of this study was to seek the means of enlarging the application of Saek-dong to fashion products by surveying and analysing the recognition and image of Saek-dong in college students. As a research procedure, the bibliographical survey on the meaning and history of Saek-dong was preceded in this study, and the students were examined on the recognition and image of Saek-dong through the questionnaires. The female students were more acquiesced with the Saek-dong and Saek-dong clothing than the male students. And the students thought that the Saek-dong was our original and traditional clothing because it was worn by our ancestors from the earliest years. The word Saek-dong reminded them of red, yellow, blue, green, white and red-brown colors in order of appearance. The most familiar color-arrange to them was red+yellow+dark-brown+green+blue, and the blue, purple, green, red, white color was thought as manly Saek-dong colors and the yellow, red, dark-brown, pink, white was regarded as feminine Saek-dong colors. Saek-dong was primarily associated with the image of Saek-dong clothing and most of the students expressed their feeling about the Saek-dong as 'cute.' Most of the students responded that the practical Hanbok was best illustrated as the most applied clothing of Saek-dong and that the attempt to apply the color and pattern of Saek-dong to other modern artistic products was likely to damage the worth of traditional Saek-dong. When it comes to the matter of applying the design of Saek-dong to the fashion products, male students thought that it could be best applied to the shirts, while female students thought that the design of Saek-dong could best be applied to the personal ornaments.

• 대한전자공학회논문지SP
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• 제46권3호
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• pp.125-137
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• 2009

음향방출 기법은 작동중인 상태에서 기계 설비를 비파괴 검사할 수 있는 기법이며, 균열성장 같은 장애의 신뢰성 있는 감시를 위해서 순간적인 균열신호뿐만 아니라 동특성을 이용하는 것이 중요하다. 균열성장을 검출하기 위해 널리 사용되는 물리적 파괴 3단계는 음향방출 현상이 시간에 따라 서로 겹치는 문제점이 있어 정확한 균열성장 시간을 추정하기 어렵다. 제안한 패턴인식 기법은 오경보와 미탐지를 최소화하기 위해서 음향방출 동특성을 입력으로 사용하고, 균열성장 시간을 정확히 추정하기 위해 시간에 따른 클러스터링 기법을 사용한다. 실험결과는 제안한 패턴인식 기법이 압력의 변화에 의한 음향방출의 변화의 강인함 때문에 실용화에 효율적임을 보여준다.

• Mass Spectrometry Letters
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• 제4권4호
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• pp.59-66
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• 2013

A metabolomics study was conducted to identify urinary biomarkers for breast cancer, using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS), analyzed by principal components analysis (PCA) as well as a partial least squares-discriminant analysis (PLS-DA) for a metabolic pattern analysis. To find potential biomarkers, urine samples were collected from before- and after-mastectomy of breast cancer patients and healthy controls. Androgens, corticoids, estrogens, nucleosides, and polyols were quantitatively measured and urinary metabolic profiles were constructed through PCA and PLS-DA. The possible biomarkers were discriminated from quantified targeted metabolites with a metabolic pattern analysis and subsequent screening. We identified two biomarkers for breast cancer in urine, ${\beta}$-cortol and 5-methyl-2-deoxycytidine, which were categorized at significant levels in a student t-test (p-value < 0.05). The concentrations of these metabolites in breast cancer patients significantly increased relative to those of controls and patients after mastectomy. Biomarkers identified in this study were highly related to metabolites causing oxidative DNA damage in the endogenous metabolism. These biomarkers are not only useful for diagnostics and patient stratification but can be mapped on a biochemical chart to identify the corresponding enzyme for target identification via metabolomics.

• 대한안전경영과학회지
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• 제7권5호
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• pp.97-105
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• 2005

Achievement degree can be improved by display offering more effective process about cognitive, pattern recognition than making observers use memory, integration, and cognitive process of control. And this research is proved by several scholars' researches [4][5][7][9]. In this study, researches was conducted about cognition according to layout of object in instrument panel. To decide layout of instrument panel, Cognition value was preferentially decided about all location. And then, objects are arranged to correct position of low cognition following the inferior procedure about each location. As a result, we get conclusion that gauge location is taken in high importance order through mechanical importance degree bringing huge damage during driving forklift-truck.

• 전자공학회논문지
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• 제52권4호
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• pp.156-163
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• 2015

본 논문은 광패턴 조사를 통한 능동형 수위 및 거리 측정 기법을 제안한다. 기존 압력식, 부자식, 초음파식, 레이더식 등의 수위측정기법과 달리 최근에는 수위측정의 정확성과 모니터링 편리성을 강조한 영상기반 수위측정기법이 활용되고 있다. 본 논문에서는 참조용 광패턴을 교각이나 제방 등에 동적으로 조사(照射)하고, 카메라 장치로부터 조사된 광패턴 영상을 실시간 분석 처리하여 자동 수위측정 및 조사(照射) 대상물까지의 거리측정을 위한 새로운 방법을 제시한다. 기존 방법이 교각에 기(旣) 부착된 수위표나 마커 인식을 위해 수동적으로 영상데이터를 분석하는 것이었다면, 본 기법은 교각 설치 환경에 대응하여 능동적으로 참조 광패턴을 생성하여 사용함으로써, 난시야(難視野) 환경 및 잡음 대응에 효과적이고, 포터블 형태로 주야간 이용이 가능하며, 별도 조명 설치를 요구하지 않는 등의 강건한 수위 측정을 지원한다. 본 실험은 실내 시험 환경을 구성하여 시뮬레이션 하였으며, 0.4-1.4m 거리 13.5-32.5cm 높이에서 수위 및 거리 측정을 수행하였다.

• 한국생산제조학회지
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• 제9권3호
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• pp.150-159
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• 2000

In-process diagnosis of the cutting state is essential for the automation of manufacturing systems. Especially when the cutting process becomes unstable it induces self-exited vibrations a frequent case of poor tool life rough surface finish damage to the workpiece and the machine tool itself and excessive down time. To ensure that the cutting process main-tains stable it is highly desirable to have the capability of real-time. To ensure that the cutting process main-tains stable it is highly desirable to have the capability of real-time monitoring and controlling chatter. This paper describes the detection method of chatter vibration using cutting force in turning process. In order to detect a chatter vibra-tion the dynamic fluctuation of radial force is analyzed since this components is sensitive to the chatter. The envelope sig-nal of radial force has been calculated by the use of FIR Hilbert transformer and it was useful to classify the chatter signal from the dynamically unstable circumstances. It was found that the mode and the mode width were closely correlated with the chatter amplitude was well. Finally back propagation(BP) neural network have been applied to the pattern recognition for the classification of chatter signal in various cutting conditions. The validity of this systed was confirmed by the experiments under the various cutting conditions.