• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.5
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• pp.90-97
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• 2009

Sedum takesimenses among the Korean Native Genus Sedum was selected as evergreen ground covers during winter in the central districts of Korea. In order to obtain basic information for production as a pot flower with good quality, the effects of pinching frequencies on growth and flowering of S. takesimense were investigated. S. takesimense plant height became much shorter and numbers of lateral shoots were increased with increased pinching. Shoots of S. takesimense treated with 30% pinching during 2004 and 2005 showed greater length and less number of lateral shoots than those with 60% pinching. Leaves of S. takesimense treated with 70% shading showed a dark green color and had a longer shoot length and a lower number of shoots than cultivation under full sunlight. Therefore, Korean native S. takesimense will be utilized as ground cover treated with 70% shading or under a tree. Therefore, S. takesimense will be promising as ground cover materials in the central districts of Korea.

• The Journal of the Korea institute of electronic communication sciences
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• v.8 no.7
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• pp.1111-1120
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• 2013

Zizania latifola has used for folk medicine in Korea. It is effective in treating skin trouble and sensitivity skins. The purpose of this study was to develop high valuable types of bath preparation of Zizania latifolia. The natural materials were manufactured by the mixed ratio of Zizania latifolia. Product was manufactured by the mixed ratio of Zizania latifolia and 3 natural materials. Green tea was highest in sensory evaluation as similar with Zizania latifolia. optimum condition of mixed ratio was adaptive 50% Houttuynia cordata, 30% green tea with 20% Artemisia vularis. Product's sensory evaluation was showed best in mixing 40% and Zizania latifolia extract 60%. There were optimal condition for manufacturing of cleansing. Therefore, The development of a bath preparation used by Zizania latifolia is very useful for manufacturing cleansing. We suggest that it help for improve skin trouble and make healthy skin.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.156-163
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• 2021

Attention mechanisms have been used in deep learning-based computer vision systems, including single image super-resolution (SISR) networks. However, existing SISR networks with attention mechanism focused on real image super-resolution, so it is hard to know whether they are available for CG or VR images. In this paper, we attempt to apply a recent attention module, called balanced attention mechanism (BAM) module, to 12 state-of-the-art SISR networks, and then check whether the BAM module can achieve performance improvement in CG or VR image super-resolution. In our experiments, it has been confirmed that the performance improvement in CG or VR image super-resolution is limited and depends on data characteristics, size, and network type.

• Journal of Digital Policy
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• v.1 no.2
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• pp.53-59
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• 2022

In this paper, we proposed a method using sub-edge information extracted through a hierarchical structure in the process of generating super resolution based on a single image. In order to improve the quality of super resolution, it is necessary to clearly distinguish the shape of each area while clearly expressing the boundary area in the image. The proposed method assists edge information of the image in deep learning based super resolution method to create an improved super resolution result while maintaining the structural shape of the boundary region, which is an important factor determining the quality in the super resolution process. In addition to the group convolution structure for performing deep learning based super resolution, a separate hierarchical edge accumulation extraction process based on high-frequency band information for sub-edge extraction is proposed, and a method of using it as an auxiliary feature is proposed. Experimental results showed about 1% performance improvement in PSNR and SSIM compared to the existing super resolution.

• Korean Journal of Plant Resources
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• v.24 no.5
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• pp.514-520
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• 2011

This study describes conditions for the mass production of mutant hairy root lines by co-cultivation with A. rhizogenes harboring the activation tagging vector pHC7. Various sources of explants were subjected to genetic transformation with A. rhizogenes to determine optimum conditions and cultivar for the highest frequency of hairy root formation on explants. Hairy root formation also were investigated in transformed hairy roots grown in various culture media. Finally, a total of approximately 2,500 lines of hairy root mutants were produced in this study. A managing system for metabolomics in hairy root lines also were established. These hairy root lines will be useful to determine functions of genes relating biosynthesis pathway of secondary metabolites.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.07a
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• pp.75-77
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• 2015

디스플레이 해상도가 지속적으로 고해상화가 되면서, 기존 저해상도 영상을 고해상도 디스플레이 크기에 맞춰 해상도를 키우는 기법인 초해상화(super-resolution, SR) 기법에 많은 관심이 쏟아지고 있으며 이에 대한 많은 초해상화 논문들이 게재되었다. 이 중 현재 최상 품질의 고해상도 영상을 복원하는 한 초해상화 기법은, 입력 받은 저해상도 영상을 자가 예제(self-examples)로 사용하여 선형 매핑(linear mapping)을 통해 점진적으로 여러 레벨(level)를 거쳐 조금씩 키우는 방법이다. 이때 각 레벨마다 기존 저해상도 영상 크기로 반복적으로 줄여 오차를 줄이는 역투영법(back-projection)을 사용하는데, 이 방법은 처리된 영상에 시각적 품질을 낮추는 링 아티팩트(ringing artifacts)를 생산하며, 이는 매 레벨마다 계속 누적이 되어 고해상도 결과 이미지 품질에 악영향을 미치는 단점이 있다. 이를 보완하기 위해, 본 논문에서는 저해상도 정지 영상을 고해상도 정지 영상으로 점진적으로 키울 때 일반적인 역투영법 대신 비국소적 평균법(non-local means, NLM) 기반 역투영법을 사용하는 초해상화 기법을 제안한다. 제안하는 기법은 매 레벨마다 생기는 링 아티팩트를 효과적으로 제거하여 높은 시각적 품질의 고해상도 영상을 복원할 수 있게 한다. 실험을 통해 제안된 초해상화 기법을 사용 시 기존 초해상화 기법보다 향상된 고품질 고해상도 영상 복원이 가능한 것을 확인하였다.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.1
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• pp.8-14
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• 2022

With the development of deep learning, super-resolution (SR) methods have tried to use deep learning mechanism, instead of using simple interpolation. SR methods using deep learning is generally based on convolutional neural networks (CNN), but recently, SR researches using attention mechanism have been actively conducted. In this paper, we propose an approach of improving SR performance using one of the attention mechanisms, non-local sparse attention (NLSA). Through experiments, we confirmed that the performance of the existing SR models, IMDN, CARN, and OISR-LF-s can be improved by using NLSA.

• 가정의 벗
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• v.34 no.1 s.389
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• pp.7-7
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• 2001

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.1
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• pp.59-67
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• 2020

In this study, a suitable algorithm for each BRT stop type is presented through the network construction and algorithm design effect analysis through the LISA, a traffic signal program, for the BRT stop type in the BRT Design Guidelines, Ministry of Land, Transport and Maritime Affairs, 2010.6. It was. The phase insert technique is the most effective method for the stop before passing the intersection, the early green technique for the stop after the intersection, and the extend green technique for the mid-block type stop. The extension green technique is used only because it consists of BRT vehicles, general vehicles and pedestrians. Analyzed. After passing through the intersection, the stop was analyzed as 56.4 seconds for the total crossing time and 29.8 seconds for the delay time. In the mid-block type stop, the total travel time of the intersection was 40.5 seconds, the delay time was 9.6 seconds, the average travel time of up and down BRT was 70.2 seconds, the delay time was 14.0 seconds, and the number of passages was 29.

• Journal of the Korea Convergence Society
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• v.5 no.4
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• pp.137-146
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• 2014

This study investigated the effects of response prompting through 3-steps compliance training to reaction time for child with Asperger's syndrome(AS). The participant was 3 and 8 year-old boy who was diagnostic As with non-compliant, delayed receptive language. Study design was multiple-baseline across behaviors. Target Behaviors were hands-up, following direction, and answering behavior. Dependent variable was latency reaction time during compliance training. This results mean that reaction time was increased raise hands-up behavior, compliance behavior and response ask questions. During intervention, the participant improve the rate on-task behavior as well as reduce off-task behaviors.