• 비파괴검사학회지
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• 제21권4호
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• pp.371-382
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• 2001

The recognition of such natural wave guides as plates, rods, hollow cylinders, multi-layer structures or simply an interface between two materials combined with an increased understanding of the physics and wave mechanics of guided wave propagation has led to a significant increase in the number of guided wave inspection applications being developed each year. Of primary attention Is the ability to inspect partially hidden structures, hard to access areas, and teated or insulated structures. An introduction to some physical consideration of guided waves followed by some sample problem descriptions in pipe, ice detection, fouling detection in the foods industry, aircraft, tar coated structures and acoustic microscopy is presented in this paper. A sample problem in Boundary Element Modeling is also presented to illustrate the move in guided wave analysis beyond detection and location analysis to quantification.

• 한국국방경영분석학회지
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• 제22권1호
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• pp.129-141
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• 1996

At present surveillance equipment on the ground of the army is distributed and located by experience element and intellience preparation of the battle field. Therefore, it is hard to utilize the optimal detection capability. This paper is forcused on improving watch ratio of the named area interested(NAI) and maximizing detection area. A linear programming model is developed and network model is established on the basis of the linear programming model. And then Out-of-Kilter algorithm is utilized for the optimal solution. Finally, one of the example is provided it shows that this model minimizes the non-detection area.

• 한국전자파학회논문지
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• 제11권6호
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• pp.984-989
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• 2000

본 논문은 35GHz에서 동작하는 이동 목표물 추적용 마이크로스트립 배열 안테나에 대해 기술하였다. 넓은 범위에서 목표물을 탐지하기 위해 안테나는 azimuth 방향으로는 넒은 빔 폭이 넓은 E-plane 방향으로 배열하였으며, 3-dB 테이퍼 급전구조를 이용하여 비교적 간단하게 배열 안테나의 side-lobe level (SLL)를 -20dB이하로 하였으며, 동시에 azimuth 방향으로 12.8$^{\circ}$로 넓은 빔 폭을 얻도록 하였다.

• Smart Structures and Systems
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• 제2권3호
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• pp.275-293
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• 2006

For health monitoring purpose usually the structure is instrumented with a large scale and multichannel measurement system. In case of highway bridges, operating vehicle could be utilized to reduce the number of measuring devices. First this paper presents a static damage detection algorithm of using operating vehicle load. The technique has been validated by finite element simulation and simple laboratory test. Next the paper presents an approach of using this technique to field application. Here operating vehicle load data has been used by instrumenting the bridge at single location. This approach gives an upper hand to other sophisticated global damage detection methods since it has the potential of reducing the measuring points and devices. It also avoids the application of artificial loading and interruption of any traffic flow.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.3221-3223
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• 1999

OAEs are low-level sounds produced by cochlea as part of the normal hearing process. OAEs can be measured with a microphone placed in the outer ear-cannel. We can diagnose cochlea's condition by using OAEs. To diagonose it's condition, however, is difficult by reason of OAEs' tiny. Thus, It need to a method using latency which essential diagnosing a time-element of OAEs. This study proposes a latency detection algorithm using 7-QMF for more effective detection of latency, 7-QMF designed by wavelet theory can process signal without a losses of information. The latency-detector based on 7-QMF is superior to former method.

• 비파괴검사학회지
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• 제12권2호
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• pp.7-13
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• 1992

In this study, we examine the characteristics of beam and the effect of these characteristics on the flaw detection by using different type of two transducers, which are PZT and PVDF film transducer. Consequently, the detection of infinitesimal flaw is more possible than PZT, since it has beam width at focus of $60%{\sim}65%$ in contrast with PZT's. Moreover we can know PVDF transducer has superiority in detecting ability for sub-surface flaw detection in view of its acoustic impedance is near to water's and its focusing range is narrower than PZT's as $65{\sim}85%$ because it has spherical surface.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.71-73
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• 2019

차량이 얼마나 존재하고 어디에 존재하는지는 교통정보를 반영하는 GeoAI 기반 도시 환경의 구현에서 필수적으로 파악되어야 할 요소이다. 본 논문에서는 객체 검출 및 추출에 유용한 딥러닝 모델인 Mask R-CNN을 이용하여 차량 데이터를 학습시키고 드론으로 촬영한 실제 항공 영상에서 차량 검출 유무를 검증하였다.

• Structural Engineering and Mechanics
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• 제81권5호
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• pp.647-664
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• 2022

The powerful data mapping capability of computational deep learning methods has been recently explored in academic works to develop strategies for structural health monitoring through appropriate characterization of dynamic responses. In many cases, these studies concern laboratory prototypes and finite element models to validate the proposed methodologies. Therefore, the present work aims to investigate the capability of a deep learning algorithm called Sparse Autoencoder (SAE) specifically focused on detecting structural alterations in real-case studies. The idea is to characterize the dynamic responses via SAE models and, subsequently, to detect the onset of abnormal behavior through the Shewhart T control chart, calculated with SAE extracted features. The anomaly detection approach is exemplified using data from the Z24 bridge, a classical benchmark, and data from the continuous monitoring of the San Vittore bell-tower, Italy. In both cases, the influence of temperature is also evaluated. The proposed approach achieved good performance, detecting structural changes even under temperature variations.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2009년도 춘계학술대회 논문집
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• pp.109-110
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• 2009

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.101-102
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• 2007

We demonstrate a novel calibration-free vehicle crash and rollover detect system by using a 3-axis accelerometer as a sensor element.