• Smart Structures and Systems
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• 제31권1호
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• pp.13-27
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• 2023

Fatigue crack is a fatal problem for steel structures. Early detection and maintenance can help extend the service life and prevent hazards. This paper presents the ultrasonic guided waves-based (UGWs-based) fatigue crack detection of a steel I-beam. The semi-analytical finite element model has been built to obtain the wave propagation characteristics. Damage indices in both time and frequency domains were analyzed by considering the characteristic variations of UGWs including the amplitude, phase angle, and wave packet energy. The pulse-echo and pitch-catch methods were combined in the detection scheme. Lab-scale experiments were conducted on welded steel I-beams to verify the proposed method. Results show that the damage indices based on the characteristic variations in the time domain can identify and localize the fatigue crack before it enters the rapid growth stage. The damage severity can be reasonably evaluated by analyzing the time-domain damage indices. Two nonlinear damage indices in the frequency domain give earlier warnings of the fatigue crack than the time-domain damage indices do. The identification results based on the above two nonlinear indices are found to be less consistent under various excitation frequencies. More robust nonlinear techniques needed to be searched and tested for early crack detection in steel I-beams in further study.

• 한국음향학회지
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• 제28권4호
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• pp.401-407
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• 2009

본 논문에서는 주파수 영역에서의 가우시안 혼합 모델 (Gaussian Mixture Model, GMM) 기반의 새로운 동시통화 검출 (Double-talk Detection, DTD) 알고리즘을 제안한다. 구체적으로 주파수 영역에서의 음향학적 반향억제 (Acoustic Echo Suppression, AES)를 위한 동시 통화 검출 알고리즘을 구성하기 위해 기존의 시간 영역에서의 동시통화 검출에 사용되는 상호 상관계수를 이산 푸리에 변환을 통해 16개 채널의 주파수 영역으로 변환하였다. 이러한 주파수 영역에서의 상호 상관계수를 GMM의 보다 효과적인 구성을 위해 통계적 분류 특성에 근거하여 우수한 7개를 선별하였다. 본 논문은 이러한 특징 벡터로 패턴인식에서 우수한 성능을 보이는 GMM을 구성하였으며 원단화자만 있는 구간, 동시통화 구간, 근단 화자만 있는 구간을 우도 (Likelihood) 비교에 따라 분류함으로써 별도의 원단 화자 신호에 대한 음성 검출기 (Voice Activity Detector, VAD)의 사용 없이 잡음환경과 반향 경로 변화에서 강인한 동시통화 검출 알고리즘을 제안한다. 다양한 실험 결과 제안된 방법은 기존의 상호 상관계수를 고정된 문턱 값과 가부 비교하여 동시 통화 구간을 검출하는 hard decision 방법에 비해 검출 오류 확률 (Detection Error Probability)을 비교한 결과 우수한 성능을 보였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제7권2호
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• pp.102-108
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• 2007

The issues of preventive and condition-based maintenance, online monitoring, system fault detection, diagnosis, and prognosis are of increasing importance. This study introduces a technique to detect and identify faults in induction motors. Stator currents were measured and stored by time domain. The time domain is not suitable for representing current signals, so wavelet transform is used to convert the signal; onto frequency domain. The raw signals can not show the significant feature, therefore difference values are applied. The difference values were transformed by wavelet transform and the features are extracted from the transformed signals. The dynamic time warping method was used to identify the four fault types. This study describes the results of detecting fault using wavelet analysis.

• Journal of the Optical Society of Korea
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• 제17권5호
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• pp.454-460
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• 2013

We present qualitative and quantitative component analyses on compound explosives via Terahertz time-domain spectroscopy (THz-TDS) based on a combination of wavelet thresholding and wavelength selection. Despite its importance, the field of signal processing of THz signals of compound plastic explosives is relatively unexplored. In this paper, experiment results from explosives Composition B-3 and Pentolite are newly presented, suggesting a novel signal processing procedure for in situ compound explosives detection. The proposed signal processing method demonstrates effective component analysis even in noisy and humid environments, showing significant decrease in component concentration percentage error of approximately 22.7% for Composition B-3 and 48.8% for Pentolite.

• 센서학회지
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• 제22권4호
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• pp.297-301
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• 2013

We proposed and demonstrated a distributed fiber-optic overheating detection sensor using optical time domain refrectometry. With increased of temperature the optical fiber is bended by a bi-metal and it result in optical leaky loss of the fiber. The sensor structure is designed in such a way that the signal of overheating is happen when the temperature exceeding a threshold temperature and the optical fiber is protected from excess bending.

• 한국정밀공학회지
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• 제23권6호
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• pp.119-127
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• 2006

A non-destructive time domain approach to examine structural damage using parameterized partial differential equations and Galerkin approximation techniques is presented. The time domain analysis for damage detection is independent of modal parameters and analytical models unlike frequency domain methods which generally rely on analytical models. The time history of the vibration response of the structure was used to identify the presence of damage. Damage in a structure causes changes in the physical coefficients of mass density, elastic modulus and damping coefficients. This is a part of our ongoing effort on the general problem of modeling and parameter estimation for internal damping mechanisms in a composite beam. Namely, in detecting damage through time-domain or frequency-domain data from smart sensors, the common damages are changed in modal properties such as natural frequencies, mode shapes, and mode shape curvature. This paper examines the use of beam-like structures with piezoceramic sensors and actuators to perform identification of those physical parameters, and detect the damage. Experimental results are presented from tests on cantilevered composite beams damaged at different locations and different dimensions. It is demonstrated that the method can sense the presence of damage and obtain the position of a damage.

• 정보처리학회논문지B
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• 제11B권3호
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• pp.353-360
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• 2004

최근까지 MPEG으로 압축된 영상의 장면전환점 검출에 관한 연구가 많이 진행되어왔다. 그러나 대체로 디코딩 과정을 거친 후 픽셀단위의 비교를 통해 장면전환점을 검출하는 경우가 많았다. 이 경우 디코딩 과정에서의 많은 계산에 의해 실시간 적용에 부적합하게 된다. 최근에는 압축영역에서의 정보만을 이용해 장면전환점을 검출하는 연구가 많이 진행되고 있으며, 본 논문에서는 압축영역에서 장면전환점을 검출하면서도 보다 빠르고 정확한 검출이 이루어지도록 I픽처 단위의 블록과 P픽처 단위의 내부블록으로 나눈 후 I블록별 검사를 통해 장면전환이 검출된 블록에 대해서 P블록별 검사를 수행하고 최종적으로 B적처까지의 검사를 통해 정확한 장면전환점을 찾는 순차접근법을 제안한다. 순차 접근법은 대부분의 처리가 압축영역에서 이루어지고 또한 블록단위의 결사를 하므로 불필요한 픽처들의 검사과정을 줄여서 보다 빠른 장면전환점 검출이 가능하다 순차접근법은 빠른 처리속도와 함께 정확한 검색이 가능하도록 최적의 알고리즘을 사용하고 있다.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1572-1579
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• 2006

An usual acoustic emission(AE) event has two widely characterized parameters in time domain, peak amplitude and event duration. But noise in AE measuring may disturb the signals with its parameters and aggrandize the signal incertitude. Experiment activity of detection of the nick inside of porcelain with AE was made and study on AE signal processing with statistic be presented in this paper in order to pick-up information expected from the signal with noise. Effort is concentrated on developing a novel arithmetic to improve extraction of the characteristic from stochastic signal and to enhance the voracity of detection. The main purpose discussed in this paper is to treat with signals on amplitudes with statistic mutuality and power density spectrum in frequency domain, and farther more to select samples for neural networks training by means of least-squares algorithm between real measuring signal and deterministic signals under laboratory condition. By seeking optimization with the algorithm, the parameters representing characteristic of the porcelain object are selected, while the stochastic interfere be weakened, then study for detection on neural networks is developed based on processing above.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2459-2472
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• 2022

With the increase in copyright content exports to overseas markets due to the recent globalization of the Korean culture, the added value of the Korean digital content market is increasing at a significant rate. As such, as the size of the copyright market increases, different piracy sites have emerged that generate profits by illegally distributing works without the permission of the copyright holders, resulting in direct and indirect damage to these copyright holders. The existing copyright detection methods used in public institutions for solving this problem are limited, while the piracy sites are ever-changing. Methods are being continuously developed to achieve better detection results. To this end, it is possible to detect the latest infringement site domain by detecting the infringement site domain that is constantly changed through the search engine. This paper proposes an improved piracy site detection method using a search engine to prevent the damage caused by piracy sites.

• Journal of Information Processing Systems
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• 제18권4호
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• pp.587-598
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• 2022

To increase building change recognition accuracy, we present a deep learning-based building change detection using remote sensing images. In the proposed approach, by merging pixel-level and object-level information of multitemporal remote sensing images, we create the difference image (DI), and the frequency-domain significance technique is used to generate the DI saliency map. The fuzzy C-means clustering technique pre-classifies the coarse change detection map by defining the DI saliency map threshold. We then extract the neighborhood features of the unchanged pixels and the changed (buildings) from pixel-level and object-level feature images, which are then used as valid deep neural network (DNN) training samples. The trained DNNs are then utilized to identify changes in DI. The suggested strategy was evaluated and compared to current detection methods using two datasets. The results suggest that our proposed technique can detect more building change information and improve change detection accuracy.