• The Journal of the Acoustical Society of Korea
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• 제22권4E호
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• pp.161-166
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• 2003

We present an adaptive wavelet packet based speech enhancement method with robust voice activity detection (VAD) in non-stationary noise environment. The proposed method can be divided into two main procedures. The first procedure is a VAD with adaptive wavelet packet transform. And the other is a speech enhancement procedure based on the proposed VAD method. The proposed VAD method shows remarkable performance even in low SNRs and non-stationary noise environment. And subjective evaluation shows that the performance of the proposed speech enhancement method with wavelet bases is better than that with Fourier basis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권4호
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• pp.980-997
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• 2024

To improve the brightness of images and reveal hidden information in dark areas is the main objective of low-light image enhancement (LLIE). LLIE methods based on deep learning show good performance. However, there are some limitations to these methods, such as the complex network model requires highly configurable environments, and deficient enhancement of edge details leads to blurring of the target content. Single-scale feature extraction results in the insufficient recovery of the hidden content of the enhanced images. This paper proposed an edge detection-based multi-scale feature enhancement network for LLIE (EDMFEN). To reduce the loss of edge details in the enhanced images, an edge extraction module consisting of a Sobel operator is introduced to obtain edge information by computing gradients of images. In addition, a multi-scale feature enhancement module (MSFEM) consisting of multi-scale feature extraction block (MSFEB) and a spatial attention mechanism is proposed to thoroughly recover the hidden content of the enhanced images and obtain richer features. Since the fused features may contain some useless information, the MSFEB is introduced so as to obtain the image features with different perceptual fields. To use the multi-scale features more effectively, a spatial attention mechanism module is used to retain the key features and improve the model performance after fusing multi-scale features. Experimental results on two datasets and five baseline datasets show that EDMFEN has good performance when compared with the stateof-the-art LLIE methods.

• 한국해양공학회지
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• 제34권6호
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• pp.442-453
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• 2020

Underwater color images suffer from low visibility and color cast effects caused by light attenuation by water and floating particles. This study applied single image enhancement techniques to enhance the quality of underwater images and compared their performance with real underwater images taken in Korean waters. Dark channel prior (DCP), gradient transform, image fusion, and generative adversarial networks (GAN), such as cycleGAN and underwater GAN (UGAN), were considered for single image enhancement. Their performance was evaluated in terms of underwater image quality measure, underwater color image quality evaluation, gray-world assumption, and blur metric. The DCP saturated the underwater images to a specific greenish or bluish color tone and reduced the brightness of the background signal. The gradient transform method with two transmission maps were sensitive to the light source and highlighted the region exposed to light. Although image fusion enabled reasonable color correction, the object details were lost due to the last fusion step. CycleGAN corrected overall color tone relatively well but generated artifacts in the background. UGAN showed good visual quality and obtained the highest scores against all figures of merit (FOMs) by compensating for the colors and visibility compared to the other single enhancement methods.

• 한국멀티미디어학회논문지
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• 제22권9호
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• pp.983-991
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• 2019

Histogram equalization method is a popular contrast enhancement technique. However, there are some drawbacks, namely, over-enhancement, under-enhancement, structure information loss, and noise amplification. In this paper, we propose an edge-enhancing histogram equalization algorithm while suppressing over-enhancement simultaneously. Firstly, over-enhancement is suppressed by clipping a transfer function, then, edge enhancement is achieved by using guided image filter. Experiments are carried out to evaluate the performance of the various HE algorithms. As a result, both qualitative and quantitative assessment showed that the proposed algorithm successfully suppressed over-enhancement while enhancing edges.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제13권1호
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• pp.13-20
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• 2009

The IPSAP which is a finite element analysis program has been developed for high parallel performance computing. This program consists of various analysis modules - stress, vibration and thermal analysis module, etc. The M orthogonal block Lanczos algorithm with shiftinvert transformation is used for solving eigenvalue problems in the vibration module. And the multifrontal algorithm which is one of the most efficient direct linear equation solvers is applied to factorization and triangular system solving phases in this block Lanczos iteration routine. In this study, the performance enhancement procedures of the IPSAP are composed of the following stages: 1) communication volume minimization of the factorization phase by modifying parallel matrix subroutines. 2) idling time minimization in triangular system solving phase by partial inverse of the frontal matrix and the LCM (least common multiple) concept.

• 한국의류산업학회지
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• 제6권4호
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• pp.440-446
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• 2004

The purpose of this study was to classify the In-line skate clothing interest of in-line skaters according to in-line skate involvement. The questionnaire was administrated to 124 male, 96 female in-line skaters aged over 20 living in Daegu. Data were analyzed by using Frequency, Factor analysis, One-way analysis of variance, Duncan test, T-test, Correlation analysis. The results of this study can be summarized as follows ; The factor of in-line skate clothing interest of in-line skater were classified into 5 factor, expression orientation, performance enhancement, information dependence, anti deviation, individual assertion. The in-line skate clothing interest, men have interests in performance enhancement, women have interest in individual assertion. The more experience of in-line skate they have. the more interest in performance enhancement they want. High involvement in-line skater have high cloth interesting of sub-factors which are expression orientation, performance enhancement and individual assertion etc. As a result, we need more deliberate marketing strategies for the experience degree, involvement degree and women in-line skater then men.

• 디지털융복합연구
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• 제17권5호
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• pp.385-390
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• 2019

본 연구는 도핑 (doping)에 대한 태도를 정량적으로 평가하기 위해 개발된 Performance Enhancement Attitude Scale (PEAS)의 다양한 버전에 대해 모형적합도 (model fit)를 확인함으로써 대한민국 엘리트선수에게 적합한 한국형 PEAS에 대한 정보를 제공하고자 하였다. 180명의 엘리트 육상선수를 대상으로 잘 훈련된 2명의 조사자 감독하에 17문항 PEAS를 자가기입식으로 응답하는 방법으로 자료를 수집하였고, 이를 활용하여 11문항과 9문항, 8문항 및 6문항으로 구분하여 모형적합도를 확인하였다. 그 결과, 8문항 PEAS가 대한민국 엘리트 육상선수에게 좋은 적합도를 보였고, 6문항 PEAS는 청소년선수에게 좋은 적합도를 보였으나 통계적으로 유의하게 나타나지는 않았다. 이러한 결과는 8문항 PEAS를 사용하는 것이 성인 및 청소년 육상선수의 도핑에 대한 태도를 측정하는 데에 더 타당하다는 것을 의미하고, 추후 이를 활용하여 도핑 행위에 영향을 미치는 심리사회학적 요인을 확인한다면 반도핑 전략 개발에 있어서 정확한 정보를 제공할 수 있을 것이다.

• 한국해양공학회지
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• 제36권1호
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• pp.32-40
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• 2022

Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately.

• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.1233-1243
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• 2015

The contrast enhancement is great challenge in the image processing when images are suffering from poor contrast problem. Therefore, in order to overcome this problem an automatic method is proposed for contrast enhancement of natural color images. The proposed method consist of two stages: in first stage lightness component in YIQ color space is normalized by sigmoid function after the adaptive histogram equalization is applied on Y component and in second stage automatic color contrast enhancement algorithm is applied on output of the first stage. The proposed algorithm is tested on different NASA color images, hyperspectral color images and other types of natural color images. The performance of proposed algorithm is evaluated and compared with the other existing contrast enhancement algorithms in terms of colorfulness metric and color enhancement factor. The higher values of colorfulness metric and color enhancement factor imply that the visual quality of the enhanced image is good. Simulation results demonstrate that proposed algorithm provides higher values of colorfulness metric and color enhancement factor as compared to other existing contrast enhancement algorithms. The proposed algorithm also provides better visual enhancement results as compared with the other existing contrast enhancement algorithms.

• 항공우주시스템공학회지
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• 제15권1호
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• pp.40-46
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• 2021

본 연구에서는 재난치안무인기 MC-1,2,3 대비 임무능력이 대폭 향상된 임무확장형 무인기 후보인 틸트로터 무인기의 공력형상설계와 성능향상을 위한 연구를 수행하였다. 기존 운영 중인 TR60 틸트로터 무인기의 형상을 근간으로 성능향상을 위하여 동체 및 꼬리날개 형상을 개선하고 나셀에 확장날개를 장착한 새로운 TR5X 개념형상을 설계하고 전산유체해석을 통해 기존 TR60과 공력성능을 비교하였다. 또한 TR5X 전기체 공력데이터를 구축하고 전기체 비행성능해석을 수행하여 목표로 설정된 주요 성능요구도가 만족됨을 확인하였다.