• 한국멀티미디어학회논문지
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• 제18권6호
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• pp.701-709
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• 2015

Image stitching method is a technique for obtaining an high-resolution image by combining two or more images. In X-ray image for clinical diagnosis, the size of the imaging region taken by one shot is limited due to the field-of-view of the equipment. Therefore, in order to obtain a high-resolution image including large regions such as a whole body, the synthesis of multiple X-ray images is required. In this paper, we propose a rapid stitching method of digital X-ray images using template-based registration. The proposed algorithm use principal component analysis(PCA) and k-nearest neighborhood(k-NN) to determine the location of input images before performing a template-based matching. After detecting the overlapping position using template-based matching, we synthesize input images by alpha blending. To improve the computational efficiency, reduced images are used for PCA and k-NN analysis. Experimental results showed that our method was more accurate comparing with the previous method with the improvement of the registration speed. Our stitching method could be usefully applied into the stitching of 2D or 3D multiple images.

• 대한화학회지
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• 제38권10호
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• pp.726-733
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• 1994

대기부유분진(air particulate material)중에 존재하는 다환방향족탄화수소(polycyclic aromatic hydrocarbons, PAH)를 신속하고 정확하게 분석하기 위하여 대기부유분진 시료를 10ml의 초임계유체($N_2O$ )로 30분간 추출 후 별도의 전처리와 농축과정 없이 GC/MS에서 분석하여 분석시간과 분석과정을 단축 및 단순화하였다. 시료로서 NBS 대기부유분진 인증표준기준물질(certified particulate reference material, CRM)1649와 서울의 도심에서 채취한 대기부유분진 시료를 이용하여 기존의 추출법 및 분석방법과 비교하였다. 그 결과 본 분석방법은 기존의 분석법에 비해 회수율은 상대적으로 작았으나 재현성이 좋았으며 분석과정이 간단하고 분석시간이 현저히 단축됨을 알 수 있었다.

• 한국자동차공학회논문집
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• 제16권6호
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• pp.26-32
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• 2008

This research presents a simulation for the fuel economy of parallel diesel hybrid vehicle. Diesel engines compared to gasoline engines have the advantages of higher fuel economy and lower $CO_2$ emission. One of the most ways to meet future fuel economy and emissions regulation is to combine diesel engine technology with a hybrid electric vehicle. The simulation of HEV is growing need for rapid analysis of the many configurations and component options. WAVE, a one-dimensional engine analysis tool, was used to a 2.7L diesel engine. ADVISOR, designed for rapid analysis of the performance and fuel economy of vehicle models, was used to conventional and hybrid electric vehicle by the use of output file from WAVE as the input engine data file for ADVISOR. A parallel diesel HEV is at least $19.7{\sim}36%$ higher fuel economy and improved acceleration ability compared to a conventional diesel vehicle. The energy loss of the parallel diesel HEV is $23{\sim}38%$ less than the conventional vehicle using regeneration.

• Bulletin of the Korean Chemical Society
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• 제35권4호
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• pp.1133-1138
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• 2014

Ultrahigh performance liquid chromatography-electrospray ionization-tandem mass spectrometry (UPLC-ESI- MS/MS) provides a high-speed method to screen a large number of samples for small molecules with specific properties. In this study, UPLC-ESI-MS/MS with multiple reaction monitoring (MRM) was employed to screen urinary phospholipid (PL) content for biomarkers of prostate cancer. From lists of urinary PLs structurally identified using nanoflow LC-ESI-MS/MS, 52 PL species were selected for quantitative analysis in urine samples between 22 cancer-free urologic patients as controls and 45 prostate cancer patients. Statistical treatment of data by receiver operating characteristic (ROC) analysis yielded 14 PL species that differed significantly in relative concentrations (area under curve (AUC) > 0.8) between the two groups. Among PLs present at higher levels in prostate cancer urine, phosphatidylcholines (PCs) and phosphatidylinositols (PIs) constituted the major head group PLs (3 PCs and 7 PIs). For technical reasons, PL species of low abundance may be underrepresented in data from UPLC-ESI-MS/MS performed in MRM mode. However, the proposed method enables the rapid screening of large numbers of plasma or urine samples in the search for biomarkers of human disease.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.131-141
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• 2021

With the rapid development of the Internet, online shopping has grown so fast that almost any good or service can be sold online today. The popularity and rapid growth of e-commerce signal a huge market opportunity for e-retailers. From the organizational perspective, it is necessary to evaluate and explore what drives customers to buy their products or to use their services. This study, therefore, aims to explain the online purchase intention and its determinants of Vietnamese customers for cosmetics and personal care products. Quantitative data was collected from an online survey conducted among university students, then was put into SPSS and AMOS for further analysis. Descriptive statistics, Cronbach's alpha test, exploratory factor analysis (EFA), regression analysis, and SEM were used to examine data from 434 valid answers. The research findings reveal that four factors positively affect purchase intention: Shopping enjoyment has the most significant impact, followed by trust, benefit, and website quality. On the other hand, perceived risk negatively influences purchase intention. While the cosmetics and personal care industry is thriving with a huge number of producers and consumers throughout the world, this study contributes to the existing literature in terms of capturing customers' needs and developing effective strategies to attract more online users.

• 농업과학연구
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• 제49권1호
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• pp.151-162
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• 2022

This study was conducted to develop a rail-type boom sprayer, performing safe spraying with improved ergonomic postures during pesticide spraying of agro-photovoltaic power system. The sprayer was designed to reduce labor cost and to be safe from pesticide exposure, and was analyzed through a comparison with a conventional spray method. The rail-type boom sprayer, consisted of a self-propelled spray and hose winder, hose, and boom sprayer parts, was designed to automatically pull and spray in the vertical and horizontal directions. The performance of the sprayer for an agro-photovoltaic power system was appropriate. From the analysis of postures with the Ovako Working posture Analysis System (OWAS), Rapid Entire Body Assessment (REBA), and Rapid Upper Limb Assessment (RULA) methods, the musculoskeletal risk factors to the body using the rail-type boom sprayer were less than those with the conventional power sprayer. In addition, the possibility of pesticide poisoning was reduced compared to the conventional power sprayer. The working capacity with the rail-type boom sprayer was more than five times greater, compared with the conventional power sprayer. After performing pesticide spraying with the rail-type boom sprayer, the labor cost was reduced to 42,750 won·yr^-1, which was 90% (402,750 won·yr^-1) less than the cost with the use of a conventional power sprayer (445,500 won·yr^-1).

• Current Optics and Photonics
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• 제7권4호
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• pp.435-442
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• 2023

These days, the size of a reflective telescope has been increasing for astronomical observation. An additional optical system usually assists a large ground telescope for image analysis or the compensation of air turbulence. To guide collimated light to the external optical system through a designated path, a coudé mirror is usually adopted. Including a collimator, a coudé mirror of a ground telescope is affected by gravity, depending on the telescope's pointing direction. The mirror surface is deformed by the weight of the mirror itself and its mount, which deteriorates the optical performance. In this research, we propose an optimization method for the coudé mirror assembly for a 1-m class ground telescope that minimizes the gravitational surface error (SFE). Here the mirror support positions and the sizes of the mount structure are optimized using finite element analysis and the response surface optimization method in both the horizontal and vertical directions, considering the telescope's altitude angle. Throughout the whole design process, the coefficients of the Zernike polynomials are calculated and their amplitude changes are monitored to determine the optimal design parameters. At the same time, the design budgets for the thermal SFE and the mass and size of the mount are reflected in the study.

• 한국동물생명공학회지
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• 제38권4호
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• pp.209-214
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• 2023

Background: Single nucleotide polymorphisms (SNPs) are widely used genetic markers with applications in human disease diagnostics, animal breeding, and evolutionary studies, but existing genotyping methods can be labor-intensive and costly. The aim of this study is to develop a simple and rapid method for identification of a single nucleotide change. Methods: A modified Polymerase Chain Reaction Amplification of Multiple Specific Alleles (PAMSA) and high resolution melt (HRM) analysis was performed to discriminate a bovine polymorphism in the NCAPG gene (rs109570900, 1326T > G). Results: The inclusion of tails in the primers enabled allele discrimination based on PCR product lengths, detected through agarose gel electrophoresis, successfully determining various genotypes, albeit with some time and labor intensity due to the use of relatively costly high-resolution agarose gels. Additionally, high-resolution melt (HRM) analysis with tailed primers effectively distinguished the GG genotype from the TT genotype in bovine muscle cell lines, offering a reliable way to distinguish SNP polymorphisms without the need for time-consuming AS-PCR. Conclusions: Our experiments demonstrated the importance of incorporating unique mismatched bases in the allele-specific primers to prevent cross-amplification by fragmented primers. This efficient and cost-effective method, as presented here, enables genotyping laboratories to analyze SNPs using standard real-time PCR.

• Radiation Oncology Journal
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• 제30권2호
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• pp.53-61
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• 2012

Purpose: To determine feasibility of RapidArc in sequential or simultaneous integrated tumor boost in whole brain radiation therapy (WBRT) for poor prognostic patients with four or more brain metastases. Materials and Methods: Nine patients with multiple (${\geq}4$) brain metastases were analyzed. Three patients were classified as class II in recursive partitioning analysis and 6 were class III. The class III patients presented with hemiparesis, cognitive deficit, or apraxia. The ratio of tumor to whole brain volume was 0.8-7.9%. Six patients received 2-dimensional bilateral WBRT, (30 Gy/10-12 fractions), followed by sequential RapidArc tumor boost (15-30 Gy/4-10 fractions). Three patients received RapidArc WBRT with simultaneous integrated boost to tumors (48-50 Gy) in 10-20 fractions. Results: The median biologically effective dose to metastatic tumors was 68.1 $Gy_{10}$ and 67.2 $Gy_{10}$ and the median brain volume irradiated more than 100 $Gy_3$ were 1.9% (24 $cm^3$) and 0.8% (13 $cm^3$) for each group. With less than 3 minutes of treatment time, RapidArc was easily applied to the patients with poor performance status. The follow-up period was 0.3-16.5 months. Tumor responses among the 6 patients who underwent follow-up magnetic resonance imaging were partial and stable in 3 and 3, respectively. Overall survival at 6 and 12 months were 66.7% and 41.7%, respectively. The local progression-free survival at 6 and 12 months were 100% and 62.5%, respectively. Conclusion: RapidArc as a component in whole brain radiation therapy for poor prognostic, multiple brain metastases is an effective and safe modality with easy application.

• 대한원격탐사학회지
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• 제36권5_1호
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• pp.823-833
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• 2020

안정적인 작물 생산을 위하여 국내 농업지역에 대한 효과적인 작황 모니터링 기법의 요구가 증대되고 있다. 본 연구에서는 작물 재배지역 추출을 위하여 딥러닝 기법을 이용한 분류 모델을 개발하고, 이를 위성영상에 적용하고자 하였다. 이를 위하여, 식생분석에 유용한 blue, green, red, red-edge, NIR 밴드를 포함하고 있는 RapidEye 위성영상을 이용하여 작물 재배지역에 대한 훈련자료를 구축하고, 이를 활용하여 국내 양파 및 마늘 작물에 대한 재배면적을 추정하고자 하였다. 대기보정된 RapidEye 위성영상을 활용하여 훈련자료를 구축하였으며, 작물지역의 분류를 위하여 대표적인 의미론적 분할을 위한 딥러닝 모델인 FC-DenseNet을 이용하여 딥러닝 모델을 생성하였다. 최종적인 작물 재배지역은 지적도와의 결합을 통하여 객체 기반의 자료로 생성하였다. 실험결과, 대기보정된 훈련자료를 이용하여 학습된 FC-DenseNet 모델은 훈련에 사용되지 않은 타 지역의 작물 재배지역을 효과적으로 검출할 수 있음을 확인하였다.