• Journal of electromagnetic engineering and science
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• 제10권3호
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• pp.86-91
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• 2010

In this paper, a double-layered frequency selective surface(FSS) superstrate was built and tested. The unit cell of the proposed FSS consists of a ring slot and a dipole-shaped structure and shows a complementary frequency response. Each unit cell is printed on two sides of a substrate. By using these double-layered structures, the first resonant frequency of the pass-band can be lowered. As a result, the size of the unit cell is minimized and the spacing between the other cells is reduced. The proposed FSS-dipole composite antenna is designed for the gain enhancement of wide-band code division multiple access(WCDMA) frequency bands(1.92~2.17 GHz) with a low quality factor(Q=0.17). To verify the gain enhancement performance of the FSS, an FSS-dipole composite antenna was created. Although the FSS layer enhances the gain of the primary radiation source of the dipole antenna, the FSS-dipole complex antenna cannot show a uniform gain over the entire desired frequency band. The experimental results show a gain enhancement of 3 dBi with an FSS superstrate in the WCDMA frequency band.

• IEIE Transactions on Smart Processing and Computing
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• 제1권1호
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• pp.8-16
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• 2012

An image obtained from a low light environment results in a low-exposure problem caused by non-ideal camera settings, i.e. aperture size and shutter speed. Of particular note, the multiple color-filter aperture (MCA) system inherently suffers from low-exposure problems and performance degradation in its image classification and registration processes due to its finite size of the apertures. In this context, this paper presents a novel method for the color enhancement of low-exposure images and its application to color shift model-based MCA system for image refocusing. Although various histogram equalization (HE) approaches have been proposed, they tend to distort the color information of the processed image due to the range limits of the histogram. The proposed color enhancement algorithm enhances the global brightness by analyzing the basic cause of the low-exposure phenomenon, and then compensates for the contrast degradation artifacts by using an adaptive histogram specification. We also apply the proposed algorithm to the preprocessing step of the refocusing technique in the MCA system to enhance the color image. The experimental results confirm that the proposed method can enhance the contrast of any low-exposure color image acquired by a conventional camera, and is suitable for commercial low-cost, high-quality imaging devices, such as consumer-grade camcorders, real-time 3D reconstruction systems, digital, and computational cameras.

• 한국실내디자인학회논문집
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• 제20권2호
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• pp.30-38
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• 2011

Personal creativity could be promoted and improved through many experience, training and various prior knowledge. This researcher had proceeded several preceding studies to find effective using methods of analogy for creativity enhancement. This study, following work of preceding studies aims to verify the effects of verbal and visual analogy for creativity improvement. Effect verification had been progressed by comparing the residential design results of two groups which are classified an experimental group consisted of sophomore college students with a comparative group consisted of sophomore university students. Consequently, the experimental group that had undergone many training on verbal and visual analogy in several preceding studies is superior to the comparative group in terms of creative design rate, sketch rate with high quality. Through this result it is verified that the using methods of verbal and visual analogy is very effective on creativity enhancement in interior design process. But the limitation of this study is that there were a few populations. Nevertheless, interdisciplinary this study will be used as a practical one to suggest a model on a teaching method and a theory for creativity improvement in interior design education.

• 대한의용생체공학회:의공학회지
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• 제29권2호
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• pp.122-131
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• 2008

For B-mode ultrasound images, we propose an image enhancement algorithm based on a multi-resolution approach, which consists of edge enhancing and noise reducing procedures. Edge enhancement processing is applied sequentially to coarse-to-fine resolution images obtained from wavelet-transformed data. In each resolution, the structural features of each pixel are examined through eigen analysis. Then, if a pixel belongs to an edge region, we perform two-step filtering: that is, directional smoothing is conducted along the tangential direction of the edge to improve continuity and directional sharpening is conducted along the normal direction to enhance the contrast. In addition, speckle noise is alleviated by proper attenuation of the wavelet coefficients of the homogeneous regions at each band. This region-based speckle-reduction scheme is differentiated from other methods that are based on the magnitude statistics of the wavelet coefficients. The proposed algorithm enhances edges regardless of changes in the resolution of an image, and the algorithm efficiently reduces speckle noise without affecting the sharpness of the edge. Hence, compared with existing algorithms, the proposed algorithm considerably improves the subjective image quality without providing any noticeable artifacts.

• 한국인터넷방송통신학회논문지
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• 제16권3호
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• pp.129-135
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• 2016

저시력인들을 위한 기존 시각 향상 장치들이 많이 있다. 이 장치는 주로 확대경 역할이 대부분이고, 고가이다. 저시력 원인으로는 다양한 증상에 기인한다. 시력 향상을 위해서는 영상의 확대, 밝기, 대비를 조절할 필요가 있다. 따라서 시력 향상 휴대용 마이크로 디스플레이 구동 드라이버 및 장치를 개발한다. 이 장치의 4가지 기본 원리는 영상 확대, 특정 색 조절, BLU로 밝기 조절, 프리즘에 의한 시축 개선이다. 제안된 HMVED 장치의 임상 실험이 실시되었다. 결과적으로 기존 장치에 비해서 수혜 효과가 돋보였으며 본 장치는 저중량, 저가, 휴대성이 용이하므로 저시력인의 삶의 질 향상에 도모한다.

• 스마트미디어저널
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• 제1권3호
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• pp.22-28
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• 2012

스마트미디어가 보편화되면서 고화질의 3차원 영상과 깊이맵에 대한 필요성이 대두되고 있지만, 현재 기술로는 완벽한 깊이맵을 직접 획득하는 것이 불가능하다. 스테레오 정합으로 획득된 깊이맵은 모호한 텍스처를 갖는 영역에서 낮은 정확도를 가지며, 깊이 카메라를 통해 직접 깊이맵을 획득한 경우에는 센서 잡음이나 낮은 해상도 등의 문제가 발생하게 된다. 본 논문에서는 이미 획득된 깊이맵의 화질을 향상시키거나 고해상도로 변환하는 기술 동향을 살펴본다. 초기에 개발된 깊이맵만을 이용한 기술부터 대응되는 색상 영상 정보를 함께 이용한 기술을 소개하고, 최근 활발히 연구되고 있는 복합형 카메라를 이용하여 깊이맵 화질을 향상시키는 기술을 자세히 살펴본다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3245-3271
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• 2016

To obtain well-dehazed images at the receiver while sustaining low bit rates in the transmission pipeline, this paper investigates the effects of image dehazing methods using dehazing contrast-enhancement filters on image compression for surveillance systems. At first, this paper proposes a novel image dehazing method by using a new method of calculating the transmission function—namely, the direct denoising method. Next, we deduce the dehazing effects of the direct denoising method and image dehazing method based on dark channel prior (DCP) on image compression in terms of ringing artifacts and blocking artifacts. It can be concluded that the direct denoising method performs better than the DCP method for decompressed (reconstructed) images. We also improve the direct denoising method to obtain more desirable dehazed images with higher contrast, using the saliency map as the guidance image to modify the transmission function. Finally, we adjust the parameters of dehazing contrast-enhancement filters to obtain a corresponding composite peak signal-to-noise ratio (CPSNR) and blind image quality assessment (BIQA) of the decompressed images. Experimental results show that different filters have different effects on image compression. Moreover, our proposed dehazing method can strike a balance between image dehazing and image compression.

• 전기학회논문지
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• 제64권12호
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• pp.1756-1760
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• 2015

This paper focuses on a priori signal to noise ratio (SNR) estimation method for the speech enhancement. There are many researches for speech enhancement with several ambient noise cancellation methods. The method based on spectral subtraction (SS) which is widely used in noise reduction has a trade-off between the performance and the distortion of the signals. So the need of adaptive method like an estimated a priori SNR being able to making a high performance and low distortion is increasing. The decision directed (DD) approach is used to determine a priori SNR in noisy speech signals. A priori SNR is estimated by using only the magnitude components and consequently follows a posteriori SNR with one frame delay. We propose a modified a priori SNR estimator and the weighted rational transfer function for speech enhancement with wind noises. The experimental result shows the performance of our proposed estimator is better Perceptual Evaluation of Speech Quality scores (PESQ, ITU-T P.862) compare to the conventional DD approach-based systems and different noise reduction methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2287-2312
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• 2018

Extracting key visual information from images containing natural scene is a challenging task and an important step for the visually impaired to recognize information based on tactile graphics. In this study, a novel method is proposed for extracting salient regions based on global contrast enhancement and saliency cuts in order to improve the process of recognizing images for the visually impaired. To accomplish this, an image enhancement technique is applied to natural scene images, and a saliency map is acquired to measure the color contrast of homogeneous regions against other areas of the image. The saliency maps also help automatic salient region extraction, referred to as saliency cuts, and assist in obtaining a binary mask of high quality. Finally, outer boundaries and inner edges are detected in images with natural scene to identify edges that are visually significant. Experimental results indicate that the method we propose in this paper extracts salient objects effectively and achieves remarkable performance compared to conventional methods. Our method offers benefits in extracting salient objects and generating simple but important edges from images containing natural scene and for providing information to the visually impaired.

• Journal of Korean Biological Nursing Science
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• 제25권2호
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• pp.113-122
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• 2023

Purpose: The purpose of this study was to examine the effects of a mobile application on quality of life, wellness, and preventive behaviors against dementia among older adults who use senior citizen centers. Methods: Seventy-two older adults who used senior citizen centers were allocated to an intervention group (n = 36) and a control group (n = 36). The experimental treatment involved a cognitive enhancement program for preventing dementia using a mobile application for 12 sessions over 6 weeks. Data were analyzed using the t-test, chi-square test, Fisher's exact test, paired t-test, and independent t-test. Results: The cognitive enhancement program based on a mobile application was effective for wellness (t = -3.87, p < .001) and preventive behaviors against dementia (t = -3.98, p < .001) for older adults who used a senior center. Conclusion: The mobile application-based cognitive enhancement program developed in this study is recommended as an effective intervention for dementia prevention in older adults.