• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.656-668
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• 2018

VR (Virtual Reality) is one of the important research topics in the field of multimedia application system. The quality of the visual data composed from multiple pictures depends on the performance of stitching technique. The stitching module consists of feature extraction, mapping of those, warping, seam finding, and blending. In this paper, we proposed a preprocessing scheme to provide the efficient mask for seam finder. Incorporating of the proposed mask removes the distortion, such as ghost and blurring, in the stitched image. The simulation results show that the proposed algorithm outperforms other conventional techniques in the respect of the subjective quality and the computational complexity.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.8
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• pp.1194-1205
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• 1999

The hand characteristics of bast blended fabrics are studied by a subective evaluation method. To offer basic data for development of better hand of bast fiber fabrics customer's hand preference surveys are executed as well. IN this study 51 varieties of linen or ramie blended fabrics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen fabics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen farbic and used. To evaluate the hand of the fabrics subjectively nine ranks' semantic differential scale questions of 26 items are developed with adjective pairs. A seven ranks' scale is also developed to evaluate hand preferences in blouse and jacket cloths, Through subjective evaluation of bast blended fabrics the 26 items could be classified into seven kinds of hand classification : surface characteristics extensibility/drapability felling of heaviness stiffness resilience moisture property and feeling of density. The cumulative variance value explained by these seven factors is 67.18% According to the results of fabrics' preference by age groups no significant differences are found in blouse cloths but a few significant differences are found among different age groups in jacket clothes. However experts and non-experts show considerable differences on preference It can be concluded that fabrics' preference I more dependent on professionality than on age. In the survey experts. However more drapery cloths are preferred by experts and cloths with drier touch are preferred by non-experts. Experts prefer rougher less even less winding heavier and sparser fabrics but non-experts prefer rougher lighter thinner and stiffer fabrics as jacket cloths.

• Journal of Energy Engineering
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• v.26 no.4
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• pp.118-126
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• 2017

This study was performed to investigate the characteristics of combustion and emissions in pulverized coal fired boiler for using high moisture coal and dry coal through computational fluid dynamics(CFD). We validated this boiler model with performance data of the boiler. The results of flow characteristics showed that climbing speed of gases was increased as blending ratio of high moisture coal was increased. It can decrease a residence time of fuel in the furnace. And it influence coal combustion. The coal burnout and NOx generation in burner level were decreased as increasing blending ratio of high moisture coal. The gas temperature and NOx formation were increased after OFA level due to coal burnout delay.

• Horticultural Science & Technology
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• v.29 no.3
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• pp.201-210
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• 2011

This experiment was conducted to investigate physical and chemical characteristics by volume fractions of root media using peatmoss, perlite, and vermiculite, along with effects on the growth of pot chrysanthemums (Dendranthema ${\times}$ grandiflorum 'Vemini') in a C-channel mat irrigation system. To evaluate the physico-chemical properties of 20 root media, the bulk density, particle density, total pore space, pore space, ash content, organic matter, pH, and electrical conductivity were measured and data were analyzed using principal component analysis (PCA). PCA scores revealed that physico-chemical properties changed by the blending of peatmoss, perlite, and vermiculite. The 20 root media were divided into three main groups by hierarchical cluster analysis. At the end of the experiment, the pH and EC of the root media were measured from media divided into four layers. The pH of root media without plants showed a strong linear relationship and the pH of root media with plants increased exponentially. The change of EC in the root medium was indicated as a hyperbolic curve. Plant growth characteristics according to growth in the 20 root media were analyzed by PCA. It was found that the mixing ratios of the root media affected plant growth characteristics. Therefore, mixing ratio is an important factor for pot-plant production in a subirrigation system.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.2 s.308
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• pp.63-71
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• 2006

Denoising and reconstruction of color images are extensively studied in the field of computer vision and image processing. Especially, denoising and reconstruction of color face images are more difficult than those of natural images because of the structural characteristics of human faces as well as the subtleties of color interactions. In this paper, we propose a denoising method based on PCA reconstruction for removing complex color noise on human faces, which is not easy to remove by using vectorial color filters. The proposed method is composed of the following five steps: training of canonical eigenface space using PCA, automatic extraction of facial features using active appearance model, relishing of reconstructed color image using bilateral filter, extraction of noise regions using the variance of training data, and reconstruction using partial information of input images (except the noise regions) and blending of the reconstructed image with the original image. Experimental results show that the proposed denoising method maintains the structural characteristics of input faces, while efficiently removing complex color noise.

• Journal of the Korean Applied Science and Technology
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• v.40 no.1
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• pp.103-112
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• 2023

This study selected 9 species of domestic native plants (Baechohyang, Red Pine, Turmeric, Ginger, San parsley seed, Bulsugam, Hwangchil, Tangja, Valerian) that have been proven effective for depression, and based on the analysis results of each fragrance component, 9 species were selected. Antioxidant (DPPH, ABTS), cytotoxicity (MTS), and anti-inflammatory (Nitric oxide) experiments were performed by combining essential oils. As a result of the analysis of fragrance components, DL-Limonene (38.44%), g-Terpinene (8.9%), Estragole (5.18%), and a-Pinene (1.73%), which were previously studied in combination oil, were identified. DPPH radical scavenging ability, which is an antioxidant activity, showed 75.4%, ABTS radical scavenging ability was 74.04%, and NO production inhibition was 33.14% at a concentration of 5uL/ml with no cytotoxicity confirmed. Through this, the effect of domestic blending essential oils on the improvement or prevention of depression is verified, and scientific efficacy and ingredient studies are conducted in a mutually cooperative manner to seek solutions to depression and provide basic data to confirm whether or not depressive symptoms are improved. want to do.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.112-112
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• 2023

발전용댐의 댐 유입량 예측 및 운영을 위해서 (주)한국수력원자력에서는 수자원통합 운영시스템(Water resources Integrated System, WIOS)을 운영 중에 있다. 해당 시스템에서는 댐 유입량을 예측하기 위해서 기상청 수치예보모델 중 하나인 국지예보모델(Local Data Assimilation and Prediction System, LDAPS)의 예측강우를 수문모형의 입력자료로 활용하고 있으며, 레이더 기반의 초단시간 강우예측 기법을 자체 개발 중에 있다. 기상청 국지예보모델은 강우의 on/off에 대한 정확도는 90%를 상회할 만큼 높으나 정량적인 강우량의 정확도는 매우 낮고, 레이더 기반의 초단시간 예측 강우는 선행 1~2시간 예측에서는 정량적 정확도는 높으나, 그 이후 예측성능이 급격히 떨어지는 경향을 보인다. 따라서 댐 유입량의 정량적 예측 정확도를 확보하기 위해 초단시간 모델과 국지예보모델의 강우예측 결과를 병합(blending)하는 기법을 적용하여 초기 6시간 동안의 예측 성능을 향상시켜야 한다. 본 연구에서는 선행시간 0~6시간에 대해서 병합하는 기법들을 적용하고 평가하고자 한다. 기본적으로 병합은 초단시간 예측강우와 수치예보자료 간 가중치를 통해 수행된다. 일반적으로 초기 1시간 선행시간에서 레이더 기반 예측강우는 완벽한 예측자료(외삽 관측자료의 가중치는 1.0)로 가정하며, tanh 함수를 이용하여 선행시간의 증가에 따라 가중치를 감소시키면서, 6시간 선행시간에서는 수치예보 예측강우가 완벽한 예측자료라고 가정한다. 본 연구에서는 일반적인 병합 방법 외에 병합된 예측강우에 과거 관측강우와 예측강우의 평균편이를 적용하여 보정하는 방법, 사례별 변동성이 큰 병합된 예측강우 특성을 고려하여 병합 가중치를 신뢰도에 따라 가변시키는 방법을 적용하여 평가한다. 이를 통해 댐 유입량 예측에 최적이 되는 병합기법을 선정하고자 한다.

• Journal of Distribution Science
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• v.21 no.1
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• pp.45-52
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• 2023

Purpose: This study aims to analyze the confirmation the purchase decision of community enterprise products, such information is an important issue for community enterprise entrepreneurs to develop a marketing strategy through the purchasing decision of community enterprise products Research design, data and methodology: The research was designed by using mixed methods research (exploratory design), starting with in-depth interviews of consumers of community enterprise products to determine the reasons for their purchase decisions. The researcher then used the data from the in-depth interviews to create a questionnaire for consumers of community enterprise products. These data were used to analyze the confirmation components of such elements. Results: The analysis found the following. 1. Decision-making is based on a product 2. Decision-making is based on social context considerations Conclusions: Develop an image to make a difference between community enterprise entrepreneurs and general entrepreneurs for distribution. The local wisdom, it is a local intellectual resource. It should be used in adjusting or blending old knowledge with new knowledge together appropriately. Creating community participation, love, unity, and the sympathy of the people in the community can help in participation in the operation of community enterprises.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.151-159
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• 2019

As the era of big data, which is the foundation of the fourth industry, has come, most related industries are developing related solutions focusing on the technologies of data storage, statistical analysis and visualization. However, for the diffusion of bigdata technology, it is necessary to develop the prediction analysis technologies using artificial intelligence. But these advanced technologies are only possible by some experts now called data scientists. For big data-related industries to develop, a non-expert, called a citizen data scientist, should be able to easily access the big data analysis process at low cost because they have insight into their own data. In this paper, we propose a system for analyzing bigdata and building business models with the support of easy-to-use analysis system without knowledge of high-level data science. We also define the necessary components and environment for the prediction analysis system and present the overall service plan.

• Journal of the Korea Institute of Building Construction
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• v.12 no.1
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• pp.73-86
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• 2012

In this research, the possible applicability of mixture blended with natural, crushed, and recycled fine aggregate are discussed. The fresh and hardened properties of mortar using blended fine aggregates are monitored depending on various blending ratio of fine aggregates. Newly developed ternary diagram was also utilized for better interpretation of the data. It was found that air content increased and unit weight decreased as recycled fine aggregate content increased. With moisture type processing of recycled fine aggregate, the mortar flow was not negatively affected by increase in the recycled fine aggregate content. The ternary diagram is found to be an effective graphical presentation tool that can be used for the quality evaluation of mortar using blended fine aggregate.