• Smart Structures and Systems
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• 제16권6호
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• pp.1049-1068
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• 2015

In the paper, the authors propose the application of operational deflection shapes (ODS) for the detection of structural changes in technical objects. The ODS matrix is used to formulate the spatial filter that is further used for damage detection as a classical modal filter (Meirovitch and Baruh 1982, Zhang et al. 1990). The advantage of the approach lies in the fact that no modal analysis is required, even on the reference spatial filter formulation and other components apart from structural ones can be filtered (e.g. harmonics of rotational velocity). The proposed methodology was tested experimentally on a laboratory stand, a frame-like structure, excited from two sources: an impact hammer, which provided a wide-band excitation of all modes, and an electro-dynamic shaker, which simulated a harmonic component in the output spectra. The damage detection capabilities of the proposed method were tested by changing the structural properties of the model and comparing the results with the original ones. The quantitative assessment of damage was performed by employing a damage index (DI) calculation. Comparison of the output of the ODS filter and the classical modal filter is also presented and analyzed in the paper. The closing section of the paper describes the verification of the method on a real structure - a road viaduct.

• 한국멀티미디어학회논문지
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• 제19권12호
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• pp.1927-1935
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• 2016

This paper propose a framework for human body parts in RGB-D image. We conduct tasks of obtaining person area, finding candidate areas and local detection in order to detect hand, foot and head which have features of long accumulative geodesic distance. A person area is obtained with background subtraction and noise removal by using depth image which is robust to illumination change. Finding candidate areas performs construction of graph model which allows us to measure accumulative geodesic distance for the candidates. Instead of raw depth map, our approach constructs graph model with segmented regions by quadtree structure to improve searching time for the candidates. Local detection uses HOG based SVM for each parts, and head is detected for the first time. To minimize false detections for hand and foot parts, the candidates are classified with upper or lower body using the head position and properties of geodesic distance. Then, detect hand and foot with the local detectors. We evaluate our algorithm with datasets collected Kinect v2 sensor, and our approach shows good performance for head, hand and foot detection.

• 대한전자공학회논문지SP
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• 제41권6호
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• pp.99-108
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• 2004

본 논문에서는 CCD(charge-coupled device) 영상 기반의 자동 표적 탐지 시스템(ATD System : Automatic Target Detection System)에 적합한 빠른 탐색 방법을 제안한다. 무기체계에서의 활용을 위해서는 빠른 연산이 주요한 변수인 만큼 이 논문에서는 적은 계산량으로 다양한 표적을 탐지할 수 있는 능력에 주안점을 두고 있다. 표적 훈련(train)단계에서는 구간별 수직 방향 프로젝션을 이용하여 1D의 템플릿을 구성하고 K-means clustering과 이진 트리 구조(binary tree structure)를 활용하여 실제 시험 단계에서 템플릿 정합하는 횟수를 최소화한다. 또한 Correlation-based Adaptive Predictive Search(CAPS)를 이용하여 각각의 템플릿에 적응적인 skip-width를 사용하여 탐색 속도를 높이고 클러터 제거 단계에서는 윤곽선으로부터 추출한 Fourier Descriptor계수를 비교함으로써 초기 탐지에서 타겟으로 오인된 클러터를 모양 정보에 기반해서 제거하는 방법을 사용한다.

• Smart Structures and Systems
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• 제14권4호
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• pp.569-594
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• 2014

Damage detection methods based on modal analysis have been widely studied in recent years. However the calculation of mode shapes in real structures can be time consuming and often requires dedicated software programmes. In the present paper the combined application of proper orthogonal decomposition and gapped smoothing method to structural damage detection is presented. The first is used to calculate the dynamic shapes of a damaged structural element using only the time response of the system while the second is used to derive a reference baseline to which compare the data coming from the damaged structure. Experimental verification is provided for a beam case while numerical analyses are conducted on plates. The introduction of a stiffener on a plate is investigated and a method to distinguish its influence from that of a defect is presented. Results highlight that the derivatives of the proper orthogonal modes are more effective damage indices than the modes themselves and that they can be used in damage detection when only data from the damaged structure are available. Furthermore the stiffened plate case shows how the simple use of the curvature is not sufficient when analysing complex components. The combined application of the two techniques provides a possible improvement in damage detection of typical aeronautical structures.

• Smart Structures and Systems
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• 제26권1호
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• pp.23-33
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• 2020

Majority of the damage in engineering structures is nonlinear. Damage sensitive features (DSFs) extracted by traditional methods from linear time series models cannot effectively handle nonlinearity induced by structural damage. A new DSF is proposed based on vector space cosine similarity (VSCS), which combines K-means cluster analysis and Bayesian discrimination to detect nonlinear structural damage. A reference autoregressive moving average (ARMA) model is built based on measured acceleration data. This study first considers an existing DSF, residual standard deviation (RSD). The DSF is further advanced using the VSCS, and then the advanced VSCS is classified using K-means cluster analysis and Bayes discriminant analysis, respectively. The performance of the proposed approach is then verified using experimental data from a three-story shear building structure, and compared with the results of existing RSD. It is demonstrated that combining the linear ARMA model and the advanced VSCS, with cluster analysis and Bayes discriminant analysis, respectively, is an effective approach for detection of nonlinear damage. This approach improves the reliability and accuracy of the nonlinear damage detection using the linear model and significantly reduces the computational cost. The results indicate that the proposed approach is potential to be a promising damage detection technique.

• 대한조선학회논문집
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• 제39권2호
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• pp.19-27
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• 2002

대형 구조물의 결함 유무 및 결함 발생시의 위치 진단은 이들 구조물의 중대 손상으로 인한 인명 및 경제적 손실 예방에 매우 중요하다. 본 논문에서는 보유추 구조물에 결함이 존재할 경우 구조물의 모드 형상에 특이점으로 반영된다는 것에 착안하여, 결함으로 인한 보유추 구조물 고유진동형의 특이점을 고유진동형을 한번 웨이블렛 변환한 후 이의 상세 성분만을 역 웨이블렛 변환으로 복구한 값의 크기를 이용해서 찾는 방법에 대한 연구를 수행하였다. 본 연구에서 적용한 결함진단 방법의 타당성과 유용성은 두께 변화 또는 균열을 갖는 양단 자유 보에 대한 수치해석과 실험 및 균열을 갖는 선체 거더에 대한 수치해석을 수행하여 검토하였다.

• Structural Engineering and Mechanics
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• 제26권3호
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• pp.315-341
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• 2007

A sudden change of stiffness in a structure, associated with the events such as weld fracture and brace breakage, will cause a discontinuity in acceleration response time histories recorded in the vicinity of damage location at damage time instant. A new damage index is proposed and implemented in this paper to detect the damage time instant, location, and severity of a structure due to a sudden change of structural stiffness. The proposed damage index is suitable for online structural health monitoring applications. It can also be used in conjunction with the empirical mode decomposition (EMD) for damage detection without using the intermittency check. Numerical simulation using a five-story shear building under different types of excitation is executed to assess the effectiveness and reliability of the proposed damage index and damage detection approach for the building at different damage levels. The sensitivity of the damage index to the intensity and frequency range of measurement noise is also examined. The results from this study demonstrate that the damage index and damage detection approach proposed can accurately identify the damage time instant and location in the building due to a sudden loss of stiffness if measurement noise is below a certain level. The relation between the damage severity and the proposed damage index is linear. The wavelet-transform (WT) and the EMD with intermittency check are also applied to the same building for the comparison of detection efficiency between the proposed approach, the WT and the EMD.

• Design & Manufacturing
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• 제11권3호
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• pp.35-40
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• 2017

PCR(Polymerase chain reaction) is a technique to replicate and amplify a desired part of DNA. It is used in various aspects such as DNA fingerprint analysis and rare DNA amplification of an extinct animal. Especially in the medical diagnosis field, it provides various measurement methods at the molecular level such as genetic diagnosis, and is a basic tool for molecular diagnostics. The internal shape of the plastic vial tube for PCR analysis used in the DNA detection process, and the surface roughness and internal cleanliness can affect detection and discrimination results. The plastic vial tube demanded by the developer of the PCR analysis equipment should be changed to a structure that eliminates the residual washing solution in the washing process to ensure the internal cleanliness. Thus the internal structure and the internal surface design for improving the PCR amplification efficiency are key issues to develop the plastic vial tube for the DNA detection process.

• 한국콘텐츠학회논문지
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• 제16권9호
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• pp.451-459
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• 2016

객체 검출은 다양한 컴퓨터 비전 응용 분야의 핵심 기술이지만 조명 변화와 기하학적 왜곡에 강인성을 갖기 위해서는 막대한 계산이 필요한 기술이다. 최근에 이 문제를 분류기의 토대로 체계화함으로써 효과적으로 해결하기 위한 접근법들이 소개되고 있다. 그 중 무작위 fern 알고리즘은 단순한 구조와 높은 인식 성능으로 많은 관심을 받고 있다. 그러나 기존의 무작위 fern 알고리즘은 화소간의 밝기 차이만으로 특징을 추출하고 있어 대조, 조명 변화와 같은 밝기 변화나 잡음에 대해 취약점을 갖는다. 본 논문에서는 기존의 무작위 fern의 단점을 개선하기 위해 패치의 기하학적 구조를 반영할 수 있는 깊이 정보를 결합시킨 결합형 무작위 fern을 새로이 제안하고 이를 이용한 객체 검출기의 성능 개선 방안을 제시한다. 모의실험을 통해 결합형 무작위 fern이 기존 방식보다 조명의 영향이나 잡음에 강인함을 보인다.

• 멤브레인
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• 제15권3호
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• pp.198-205
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• 2005

방사능 오염도 측정에 사용하기 위한 이중구조 고분자막이 폴리설폰과 세륨활성화된 이트륨실리케이트(CAYS)를 이용하여 제조되었다. 제조된 막은 순수 고밀도 고분자 지지층과 이에 제막된 고분자 용액의 상전환 공정에 의해 고형화된 CAYS 함침 활성층의 이중구조로 구성된다. 제막공정에서 대기방치 공정이 생략되었을 때 CAYS를 포함하는 활성층은 전형적인 비대칭 구조를 지니며, CAYS 입자들이 고분자 구조 사이에 박혀있는 형상을 지닌다. 제막공정에서 대기에 방치하는 시간이 증가할수록 막의 형상은 스폰지 구조를 띠며 CAYS는 고분자 구조로부터 분리되어 막 내부에 셀 같은 공간에 밀집되어 존재함을 보였다. 한편, 두 충 사의 계면형상은 고분자 고형화 과정에서의 상전환 속도와 밀접한 관련되었으며, 대기방치 시간의 증가에 따라 계면의 구분이 뚜렷하게 나타나지 않았다. 방사능 탐지 특성에서 스폰지 구조를 지니는 막의 고분자 구조는 방사성핵종이 통과할 수 없는 밀집된 형상을 지니면서 탐지효율의 감소를 초래하는 것으로 나타났다.