• Proceedings of the KIEE Conference
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• 2009.04a
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• pp.318-321
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• 2009

누전차단기 설치 상태에서도 전기화재가 지속적으로 발생함에 따라 전기화재의 원인이 되는 전기 아크에 대한 관심이 증가하고 있는 실정으로 본 논문에서는 UL1699의 아크 저해시험(inhibition tests)에서 제시하고 있는 직렬 아크코장시험(Arc generator test)을 실시하고, 아크고장전류 분석방법으로 최근에 많이 사용되고 있는 이산 웨이블렛 변환을 이용한 3가지 분석방법에 대하여 아크고장전류 검출 확률을 분석하였다. 분석결과, (1) 근사계수 분석에 의한 최대치 변화율 실효치 변화율 분석방법은 46%의 검출 확률을 얻을 수 있었고, (2) 상세계수 분석에 의한 최대치 변화율 실효치 변화율 분석방법은 62%, (3) 근사계수 분석에 의한 잡음량 변화율 shoulder 변화율 분석방법은 100% 검출 확률을 얻을 수 있었다.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.1
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• pp.20-26
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• 2013

Image noise reduction in the frequency domain by thresholding is simple, but quite effective. Wavelet domain thresholding has been an active area of research but relatively little work has been published on DCT domain denoising. A novel method for determining the hard threshold for the DCT domain denoising is proposed. The low amplitude DCT coefficients are discarded until the cumulative sum of the discarded signal energy is comparable to that of noise in each DCT block. Cycle spinning is also applied to reduce block artifacts. The proposed method is quite effective and simple enough to be used in portable devices.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.96.3-96
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• 2002

A scheme of clarifying fault feature in the residual is given for model-based fault detection and diagnosis of control systems. It is based on the residual generation using a robust filter and the noise suppresion in test statistics of the residual by multi-scale discrete wavelet transform. By clarifying the fault feature in the residual, the difficulties of existing model based approaches via adopting a threshold can be overcomed and it has advantage of taking the false alarm and missed detection into acount at the same time, which can make the fault detection and diagnosis easy and correct. To show the effectiveness of our approach, the simulation results are illustrated for a linear syste...

• Journal of the Korean Society of Radiology
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• v.6 no.4
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• pp.305-311
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• 2012

This study compares the TE and UTE is to evaluate. We was programming by DWT of Matlab Tool-box for evaluation. M-program used feature value extract between TE Images and UTE Images. Two images using the extracted feature values were compared. Comparison of similar features two images phase was found to have value.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1815-1818
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• 2003

Digital watermarking is technique, which owner's information is inserted in digital image, with intention to protecting a copyright of digital image. In watermarking for copyright and authentication, watermark shouldn't be distorted or disappeared after general image processes like a compression and filtering. In this paper, we present a new digital image watermarking algorithm which combines the discrete wavelet transform (DWT) and the singular value decomposition (SVD). Simulation results show that the newly proposed algorithm is not only robust nevertheless variable attacks like noise, filtering and JPEG compression but also secure in application.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.1173-1176
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• 2003

JPEG2000[1][2]은 DWT(Discrete Wavelet Transform)[3] 변환을 기반으로 하는 이미지의 새로운 표준으로 오류가 빈번히 발생하는 네트워크상의 전송을 위한 오류 제어 기법들을 제공한다. JPEG2000에서 제공하는 오류 제어 기법은 스트림 내에서 오류를 발견하고 오류 전파를 제어하지만, 손실된 웨이블릿 계수를 복원하지는 못한다. 본 논문에서는 DWT 변환 후 각 부대역 및 이웃의 상호 연관성을 이용하여 오류로 인해 손실된 웨이블릿 계수를 효과적으로 예측하여 이미지의 화질을 향상시키는 오류 은닉 기법을 제안한다. 제안된 기법의 성능을 무선네트워크 환경에서 모의 실험한 결과 기존의 오류 제어 기법보다 성능이 뛰어났고 특히 이미지 내의 변화가 적은 경우 부대역 및 이웃 웨이블릿 계수의 상호 연관성이 크므로 더욱 효과적인 성능을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1737-1740
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• 2005

MP3 음악과 같은 오디오 컨텐츠의 저작권 보호를 위한 다양한 오디오 워터마킹 기법이 활발히 연구되고 있다. 본 논문에서는 XUEYAO LI[1]가 제안한 방법을 기반으로 VLSI H/W구조를 제안하며 이를 Verilog HDL을 이용하여 설계 및 시뮬레이션을 수행하였다. 본 논문에서 사용한 워터마크 삽입 기법은 시각적 식별성이 뛰어난 이진 이미지를 기반으로 의사 랜덤 수열을 생성하여 웨이브릿 영역에서의 워터마크를 삽입하는 기법이다. H/W 설계의 복잡성을 줄이기 위해 워터마크 삽입 강도를 스케일링 하는 기법을 생략하였으나 Matlab을 이용한 알고리즘 시뮬레이션 결과 워터마크 삽입 신호의 음질에 거의 영향을 주지 않으며 몇몇 알려진 워터마크 공격에도 강인성을 보였다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.2
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• pp.157-163
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• 2005

In this paper, we present the multimodal system based on the fusion of two user-friendly biometric modalities: Iris and Face. In order to reach robust identification and verification we are going to combine two different biometric features. we specifically apply 2-D discrete wavelet transform to extract the feature sets of low dimensionality from iris and face. And then to obtain Reduced Joint Feature Vector(RJFV) from these feature sets, Direct Linear Discriminant Analysis (DLDA) is used in our multimodal system. In addition, the Synergetic Neural Network(SNN) is used to obtain matching score of the preprocessed data. This system can operate in two modes: to identify a particular person or to verify a person's claimed identity. Our results for both cases show that the proposed method leads to a reliable person authentication system.

• Proceedings of the KSRS Conference
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• 2007.10a
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• pp.405-409
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• 2007

Each class in remotely sensed imagery has different spectral and spatial characteristics. Natural features have relatively smaller spatial changes than spectral changes. Meanwhile, urban area in which buildings, roads, and cars are included is inclined to face more changes of spatial variation than spectral one. This study aims to propose the new urban complexity index (UCI) based on the 3D DWT computation of remotely sensed imageries considering these characteristics. And then we analyze relation between index and land cover map. The 3DWUCI values are related to class and the indices of urban area are greater than natural area. The proposed UCI could be used to express effectively the standard of urban complexity over a wide area.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2011.04a
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• pp.572-577
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• 2011

The acoustic emission (AE) technique is a well-known non-destructive test technique, both in research and for industrial applications. It is mainly used to monitor the onset of cracking processes in materials and components. Predicting and preventing the crack phenomenon has attracted the attention of many researchers and has continued to provide a large incentive for the use of condition monitoring techniques to detect the earliest stages of cracks. In this research, goal is in grasping features of AE signal caused by crack growth. The envelope analysis with discrete wavelet transform (DWT) is used to find the characteristic of AE signal. To estimate feature of divided into three by crack length, the time waveform and the power spectrum were generated by the raw signals and the transferred signal processed by envelope analysis with DWT.