• 한국콘텐츠학회논문지
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• 제9권2호
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• pp.133-141
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• 2009

이 논문에서는 오픈 프레임워크에 ASP(Application Service Provider)를 개발 하는데 적합하도록 하는 모듈을 적용시켜 ASP 개발 전용 프레임워크로 확장하는 방법을 제안한다. 제안 방법은 MVC 개발 방법론과 Query 및 ASP정보를 XML로서 관리 하도록 하는 모듈로서 오픈 프레임워크를 고객의 요구 사항에 빠르게 대응하도록 하는 유연성을 가지게 한다. 이미 만들어진 템플릿 소스를 상속받아 구현되어지는 기본 모델를 이용하여 개발자는 개발방법만 신경 쓰도록 하여 개발속도의 향상과 시스템 무결성을 강화 시키는 프레임워크로서의 개선을 제안 하였다. 실험결과를 통해 기존에 개발하는 방식들에 비해 수정 파일수가 적어지는 것과 향상된 유연성, 그리고 소스의 양이 약 29% 줄어드는 것을 확인할 수 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제15권5호
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• pp.1925-1929
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• 2014

Background: Vascular endothelial growth factor-C (VEGF-C), which contributes to lymphatic metastasis (LM) in malignant disease, is one of the most important factors involved in physical and pathological lymphangiogenesis. Some VEGF-C related factors such as sine oculis homeobox homolog (SIX) 1, contactin (CNTN) 1 and dual specificity phosphatase (DUSP) 6 have been extensively studied in malignancies, but their expression levels and associations have still to be elucidated in stomach cancer. Methods: We detected their expression levels in 30 paired stomach cancer tissues using quantitative real-time reverse transcription-PCR (qRT-PCR). The expression and clinical significance of each factor was analyzed using Wilcoxon signed rank sum test. The correlation among all the factors was performed by Spearman rank correlation analysis. Results: The results suggest that VEGF-C and CNTN1 are significantly correlated with tumor size, SIX1 with the age and CNTN1 also with the cTNM stage. There are significant correlations of expression levels among VEGF-C, SIX1, CNTN1 and DUSP6. Conclusions: There exists an important regulatory crosstalk involving SIX1, VEGF-C, CNTN1 and DUSP6 in stomach cancer.

• Asian Pacific Journal of Cancer Prevention
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• 제16권8호
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• pp.3233-3239
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• 2015

Background: Whether depression causes increased risk of the development of breast cancer has long been debated. We conducted an updated meta-analysis of cohort studies to assess the association between depression and risk of breast cancer. Materials and Methods: Relevant literature was searched from Medline, Embase, Web of Science (up to April 2014) as well as manual searches of reference lists of selected publications. Cohort studies on the association between depression and breast cancer were included. Data abstraction and quality assessment were conducted independently by two authors. Random-effect model was used to compute the pooled risk estimate. Visual inspection of a funnel plot, Begg rank correlation test and Egger linear regression test were used to evaluate the publication bias. Results: We identified eleven cohort studies (182,241 participants, 2,353 cases) with a follow-up duration ranging from 5 to 38 years. The pooled adjusted RR was 1.13(95% CI: 0.94 to 1.36; $I^2=67.2%$, p=0.001). The association between the risk of breast cancer and depression was consistent across subgroups. Visual inspection of funnel plot and Begg's and Egger's tests indicated no evidence of publication bias. Regarding limitations, a one-time assessment of depression with no measure of duration weakens the test of hypothesis. In addition, 8 different scales were used for the measurement of depression, potentially adding to the multiple conceptual problems concerned with the definition of depression. Conclusions: Available epidemiological evidence is insufficient to support a positive association between depression and breast cancer.

• 대한한의학원전학회지
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• 제19권1호통권32호
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• pp.1-15
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• 2006

UNGI(運氣) theory is one of the most important theory in Oriental medicine. But it's so difficult to adapt to real medic. Long time ago many Oriental Physicians disscussed this with other physicians, UNGI to Oriental Medicine, and so still now. Remarkably, it is important as a basic theory itself, UNGI exist as a special medic. We can see that in the book of ‘五運六氣韓醫學寶鑑’, ‘運氣演繹方藥篇’ and other such kind of books. The special thing is we can predict each man's disease through the date of his birth. And more, we can make out prescription for each person's health. In addition, by knowing his date of birth, we can calculate his date of pregnancy, and with the same way, we can also predict and prescript that he can be protected from his fateful disease. But, the way like this can make Oriental medic an astrology and a superstition. So I studied on this and concluded as follow, 1. UNGI theory is important in the Oriental Medicine not only in basic but on diagnosis and attendance. 2. Mechanical abuse in the past, make UNGI theory unbelievable. But Liu Ha-gan(劉河間) studied so deeply, and knew the right way to applicate UNGI theory on Oriental medic. 3. It is not logical the pregnant day counted thru birthday, so we have to percept this an abstract idea. And it founded detail way to count the pregnant day. 'UNGI' as a medical system, by knowing his birthday we can predict and prevent his fateful disease. Of course, I cannot find such substances in Neijing, and classic books on Oriental medicine. So queer at a glance, but clinically it has some valuable meanings. However, There's little to prove its foundation. It is similar to astrology, we cannot define its base. The problems we have to trace and find out.

• 스마트미디어저널
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• 제10권2호
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• pp.30-37
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• 2021

최근 웹툰이나 애니메이션을 3D 콘텐츠로 제작하는 사례가 증가하고 있다. 3D 콘텐츠 제작에서 모델링은 반드시 필요하지만 시간이 오래 걸리는 작업이다. 드로잉 기반 모델링을 사용하여 2D 카툰 원화에서 3D 모델을 생성하기 위해서는 라인 드로잉이 필요하다. 하지만 2D 카툰원화는 3D 모델의 기하학적 특성이 표현되지 않고 카툰원화의 제작 기법이 다양하여 일관성 있게 라인 드로잉 추출이 힘들다. 본 연구에서는 generative adversarial network (GAN) 모델을 사용하여 2D 카툰 원화에서 3D 모델의 기하학적 특성을 나타내는 라인 드로잉을 추출하는 방법을 제안하고 이를 실험한다.

• Journal of Microbiology and Biotechnology
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• 제32권1호
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• pp.99-109
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• 2022

This study is the first report on production and characterization of the enzyme from an Ornithinibacillus species. A 4.2-fold increase in the extracellular protease (called L9^T) production from Ornithinibacillus caprae L9^T was achieved through the one-factor-at-a-time approach and response surface methodological optimization. L9^T protease exhibited a unique protein band with a mass of 25.9 kDa upon sodium dodecyl sulfate-polyacrylamide gel electrophoresis. This novel protease was active over a range of pH (4-13), temperatures (30-80℃) and salt concentrations (0-220 g/l), with the maximal activity observed at pH 7, 70℃ and 20 g/l NaCl. Proteolytic activity was upgraded in the presence of Ag⁺, Ca²⁺ and Sr²⁺, but was totally suppressed by 5 mM phenylmethylsulfonyl fluoride, which suggests that this enzyme belongs to the serine protease family. L9^T protease was resistant to certain common organic solvents and surfactants; particularly, 5 mM Tween 20 and Tween 80 improved the activity by 63 and 15%, respectively. More importantly, L9^T protease was found to be effective in dehairing of goatskins, cowhides and rabbit-skins without damaging the collagen fibers. These properties confirm the feasibility of L9^T protease in industrial applications, especially in leather processing.

• 스마트미디어저널
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• 제11권4호
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• pp.62-68
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• 2022

수산 양식장 질병 감염의 확산을 사전에 차단을 위해서는 양식장의 수질 환경 및 생육 어류의 상태를 실시간 모니터링하면서 어류의 질병을 예측하는 시스템이 필요하다. 어류 질병 예측의 기존 연구는 이미지 처리 기법이 대부분이었으나 최근에는 딥러닝 기법을 통한 질병 예측방법의 연구가 활발히 진행되고 있다. 본 논문에서는 수산 양식장에서 발생할 수 있는 넙치의 질병을 딥러닝 기술로 예측하는 방법에 대한 연구결과를 소개하고자 한다. 이 방법은 양식장에서 수집된 카메라 영상에 데이터 증강과 전처리 포함하여 질병 인식률의 성능을 높인다. 이것을 통해 질병 어류를 조기 발견으로 양식 어업에서 어류 집단 폐사 등 어업 재해를 예방하고 지역 수산 양식장으로 어류의 질병 확산 피해를 줄여 매출액 감소 차단될 것으로 기대한다.

• 대한한의학회지
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• 제42권2호
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• pp.107-119
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• 2021

Objectives: This study was aimed to report changes in clinical symptoms and signs after treatment with Korean medicine in patients who suffered from calf edema due to deep vein thrombosis (DVT). Methods: A 46-year-old male patient, who discharged home after receiving standardized treatment for acute DVT in the right leg, suffered pain and heat sense due to edema of the affected calf. Oral administration of herbal medicine (Gyejibongnyeong-hwan 4 g, twice daily) and acupuncture therapy were given to him for 6 weeks. The change in chief complaints, Villalta score, the right and left side difference of the circumference and the skin surface temperature of both calves, and blood level of D-dimer were observed before and after treatment. Results: The patient's chief complaints began to significantly improve from 2 weeks after treatment, and disappeared completely within 4 weeks. At the end of the treatment, a substantial decrease in the difference between the right and left calves in the circumference and skin surface temperature was observed. This effect was maintained even at the time of follow-up 3 months after the end of treatment, and the patient completely recovered indoor and outdoor life to the level before onset. Conclusions: This case suggests that Korean medicine treatment, including Gyejibongnyeong-hwan administration and acupuncture therapy, can be a viable option to improve edema and related clinical problems in the affected limbs due to DVT.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4084-4104
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• 2021

Visual place recognition (VPR) is a fundamental yet challenging task of mobile robot navigation and localization. The existing VPR methods are usually based on some pairwise similarity of image descriptors, so they are sensitive to visual appearance change and also computationally expensive. This paper proposes a simple yet effective four-step method that achieves adaptive convolutional neural network (CNN) landmark matching for VPR. First, based on the features extracted from existing CNN models, the regions with higher significance scores are selected as landmarks. Then, according to the coordinate positions of potential landmarks, landmark matching is improved by removing mismatched landmark pairs. Finally, considering the significance scores obtained in the first step, robust image retrieval is performed based on adaptive landmark matching, and it gives more weight to the landmark matching pairs with higher significance scores. To verify the efficiency and robustness of the proposed method, evaluations are conducted on standard benchmark datasets. The experimental results indicate that the proposed method reduces the feature representation space of place images by more than 75% with negligible loss in recognition precision. Also, it achieves a fast matching speed in similarity calculation, satisfying the real-time requirement.

• 천문학회보
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• 제46권1호
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• pp.41.2-41.2
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• 2021

In this study, we generate He I 1083 nm images from Solar Dynamic Observatory (SDO)/Atmospheric Imaging Assembly (AIA) images using a novel deep learning method (pix2pixHD) based on conditional Generative Adversarial Networks (cGAN). He I 1083 nm images from National Solar Observatory (NSO)/Synoptic Optical Long-term Investigations of the Sun (SOLIS) are used as target data. We make three models: single input SDO/AIA 19.3 nm image for Model I, single input 30.4 nm image for Model II, and double input (19.3 and 30.4 nm) images for Model III. We use data from 2010 October to 2015 July except for June and December for training and the remaining one for test. Major results of our study are as follows. First, the models successfully generate He I 1083 nm images with high correlations. Second, the model with two input images shows better results than those with one input image in terms of metrics such as correlation coefficient (CC) and root mean squared error (RMSE). CC and RMSE between real and AI-generated ones for the model III with 4 by 4 binnings are 0.84 and 11.80, respectively. Third, AI-generated images show well observational features such as active regions, filaments, and coronal holes. This work is meaningful in that our model can produce He I 1083 nm images with higher cadence without data gaps, which would be useful for studying the time evolution of chromosphere and coronal holes.