• International Journal of Precision Engineering and Manufacturing
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• 제6권4호
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• pp.60-66
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• 2005

In this paper, we propose the basic measurement method of a 3D digitizer using a CCD camera in detail. In the localization measurement with a CCD camera, the effect of the background light and the sensitivity consideration are always problems in realizing a high precision. In this research, a new measurement principle is proposed in which the pulse compression technique known in radar is used to eliminate the effect of background light even under a low intensity light source, and the coordinate values on the CCD camera image plane are determined accurately. From the quantitative evaluation of the S/N ratio improvement and the fundamental experiment, it is verified that a substantial improvement in the S/N ratio is realized for both the background noise and the pixel noise and that a resolution of less than the pixel is sufficiently possible.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1405-1419
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• 2018

An image fusion method is proposed on the basis of depth model segmentation to overcome the shortcomings of noise interference and artifacts caused by infrared and visible image fusion. Firstly, the deep Boltzmann machine is used to perform the priori learning of infrared and visible target and background contour, and the depth segmentation model of the contour is constructed. The Split Bregman iterative algorithm is employed to gain the optimal energy segmentation of infrared and visible image contours. Then, the nonsubsampled contourlet transform (NSCT) transform is taken to decompose the source image, and the corresponding rules are used to integrate the coefficients in the light of the segmented background contour. Finally, the NSCT inverse transform is used to reconstruct the fused image. The simulation results of MATLAB indicates that the proposed algorithm can obtain the fusion result of both target and background contours effectively, with a high contrast and noise suppression in subjective evaluation as well as great merits in objective quantitative indicators.

• 한국멀티미디어학회논문지
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• 제24권12호
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• pp.1606-1613
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• 2021

Recently various attempts to control hardware through integration of sensors and artificial intelligence have been made. This paper proposes a smart hazardous sound detection at home. Previous sound recognition methods have problems due to the processing of background sounds and the low recognition accuracy of high-frequency sounds. To get around these problems, a new MFCC(Mel-Frequency Cepstral Coefficient) algorithm using Wiener filter, modified filterbank is proposed. Experiments for comparing the performance of the proposed method and the original MFCC were conducted. For the classification of feature vectors extracted using the proposed MFCC, DNN(Deep Neural Network) was used. Experimental results showed the superiority of the modified MFCC in comparison to the conventional MFCC in terms of 1% higher training accuracy and 6.6% higher recognition rate.

• 한국음향학회지
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• 제10권4호
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• pp.12-18
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• 1991

음성 신호처리 분야에서 기본주파수를 정확히 검출하는 것이 아주 중요하다. 주파수 영역에서 피치검출 방법의 문제점은 대체로 배경잡음이나 제 1 포먼트에 의하여 발생한다. 그러므로, 본 논문에서는 스펙트럼 AMDF 함수를 이용하여 잡음의 영향이나 제 1 포먼트의 영향을 줄이는 주파수영역 피치검출 앨고리즘을 제안하였다. 여러 가지 컴퓨터 시뮬레이션 결과 제안한 앨고리즘이 기본주파수 검출에 효과적으로 나타났다.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3716-3724
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• 2023

Loose parts monitoring and detecting alarm type in real Nuclear Power Plant have challenges such as background noise, insufficient alarm data, and difficulty of distinction between alarm data that occur during start and stop. Although many signal processing methods and alarm determination algorithms have been developed, it is not easy to determine valid alarm and extract the meaning data from alarm signal including background noise. To address these issues, this paper proposes a denoising autoencoder-based majority vote classification. Training and test data are prepared by acquiring alarm data from real NPP and simulation facility for data augmentation, and noisy data is reproduced by adding Gaussian noise. Using DAEs with 3, 5, 7, and 9 layers, features are extracted for each model and classified into neural networks. Finally, the results obtained from each DAE are classified by majority voting. Also, through comparison with other methods, the accuracy and the false alarm rate are compared, and the excellence of the proposed method is confirmed.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2009년도 학술대회 초록집
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• pp.54-59
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• 2009

지진 관측소의 지진 관측 능력은 관측소의 잡음 수준에 좌우되어 잡음 수준이 높은 관측소는 작은 규모의 지진 또는 원거리의 지진에 의한 약한 지반 진동을 감지하기 어렵다. 그러므로 지진관측망의 지진 관측 능력을 고려하기 위해서는 지진관측소의 분포뿐만 아니라 각 관측소의 잡음 수준을 고려해야 한다. 대부분의 국내 지진관측소는 1 Hz 이상의 주파수 대역에서 인간의 활동에 의한 영향을 받고 있으며, 이로 인해 주간과 야간의 잡음 수준 차이가 나타난다. 이러한 잡음 변화에 따른 지진 관측 능력의 차이와 분포를 살펴보기 위해 2005년부터 2007년까지 한국지질자원연구원과 기상청에서 운영하는 광대역 관측소 30개소의 잡음 분석 결과를 이용하였다. 각 관측소의 잡음 수준을 고려하였을 때 야간에는 규모 2.4 정도 이상의 지진이 내륙에서 발생한 것을 관측할 수 있는 반면, 주간에는 규모 2.6 정도의 지진 관측 능력을 보였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 춘계학술대회논문집
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• pp.127-131
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• 2007

A laboratory study on low frequency noise assessment was carried out to determine the acceptability limits in the frequency range between 20 and 200 Hz. The acceptability limits were tested in the anechoic chamber to minimize the background noise. A total of 30 test subjects, who were aged between 19 to 33 years, participated in this study. They were exposed to various stimuli for about 1 hour by supra-aural earphone. The experiment consisted of two listening sessions; hearing threshold and the acceptability limits session. The results showed that the trend of the acceptability limits curve was approximately equal to C-weighting curve which had been found to be superior to A-weighting curve in low frequency noise assessment.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1627-1633
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• 2017

This paper proposes a voice enhancing ear-protection system which is based on feedback active noise control(FBANC). The proposed system selectively suppresses the background noise and preserves the talking voice by controlling the adaptive algorithm with the voice activity period detection module. The noise reduction performance of the proposed noise canceling algorithm is analytically derived for the two key performance affecting parameters, i.e., electro-acoustic coupling distance and noise bandwidth. The proposed system is also implemented with a floating-point DSP system and its performance is experimentally tested to compare with the analytically derived results. The achieved levels of noise reduction for the three different noise bandwidths cases, i.e., 10Hz, 50Hz, and 90Hz, are high to show 17.05dB, 10.54dB and 8.99dB, respectively. The feasibility of the proposed system is also shown by the peak noise reduction achieved more than 25dB while preserving the voice component in the frequency range between 200-800Hz.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.381-394
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• 2016

The several noise level estimation algorithms that have been developed for use in image processing and computer graphics generally exhibit good performance. However, there are certain special types of noisy images that such algorithms are not suitable for. It is particularly still a challenge to use the algorithms to estimate the noise levels of complex textured photographic images because of the inhomogeneity of the original scenes. Similarly, it is difficult to apply most conventional noise level estimation algorithms to images rendered by the Monte Carlo (MC) method owing to the spatial variation of the noise in such images. This paper proposes a novel noise level estimation method based on histogram modification, and which can be used for more accurate estimation of the noise levels in both complex textured images and MC-rendered images. The proposed method has good performance, is simple to implement, and can be efficiently used in various image-based and graphic applications ranging from smartphone camera noise removal to game background rendition.

• 소음진동
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• 제7권5호
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• pp.827-836
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• 1997

To suggest the standard of railroad noise and its measures and grasp its status 15 open sites of the Jungang. Taeback and Youngdong line in which the background noise level is very low and the railroad is at grade and 7 urban sites of the Kyungboo and Honam line were selected and the sound level which 373 trains passing through the former and 271 trains passing through the latter emitted was investigated. The community response of railroad noise was surveyed for apartment near wayside. Noise reduction of wall for apartment at the wayside was investigated. The prediction of electric train subway noise is derived for the environment impact assessment.