• 대한수의학회지
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• 제43권4호
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• pp.607-613
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• 2003

Dendritic cells (DCs) play an essential role in a variety of immune reactions involving $CD4^+$ T cells and have been used to enhance tumor-specific immune responses. Immunosuppression in patients with cancer includes the downregulation of function and number of DCs. Although DCs have been studied, the apoptosis of Des induced by anticancer drugs for chemotherapy remains largely uncharacterized. This study demonstrated that GM-CSF protects DCs from 5-fluorouracil (5-FU) or mitomycin C-induced apoptosis. After 6 - 10 days culture, DCs were characterized by specific surface marker, CD11c and MHC class II. MTT assay revealed that GM-CSF significantly enhanced the viability of DCs treated with 5-FU or mitomycin C. The percentage of dead cells of DCs was determined by cell size using FACScan and GM-CSF was clearly effective. However, GM-CSF did not increase the expression of MHC class II on viable DCs gated, suggesting that GM-CSF may differentially regulate critical factors involved in the function of DCs. For the quantitative analysis of apoptosis, annexin V-FITC staining was performed. 5-FU induced the apoptosis of DCs and GM-CSF significantly protects DCs from 5-FU-induced apoptosis. Taken together, the results in this study that GM-CSF has an anti-apoptosis effect on DCs may provide patients with cancer with clinical benefits to overcome the immunosuppression induced by the decrease of number and functional insufficiency of DCs.

• 한국컴퓨터정보학회논문지
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• 제10권5호
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• pp.49-56
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• 2005

소프트웨어의 재사용이란 소프트웨어 시스템을 구축할 때 모든 것을 새로 만드는 것이 아니라 기존의 소프트웨어를 이용하여 소프트웨어 시스템을 만드는 과정을 말한다. 객체 지향 개념에서 동적 바인딩, 다형 현상 등은 수행 가능한 경로의 숫자를 현저히 증가시켜 수행 경로를 찾기 위한 소스 코드의 정적 분석은 거의 도움이 되지 않는다. 이러한 개념들은 수정 테스트에도 새로운 문제를 던져 주고 있다. 전통적인 테스트 방법은 상속 관계, 메시지 보냄, 실례 관계와 같은 복잡한 관계들에 대하여는 다루지 않으므로 객체 지향 프로그램의 수정 테스트에 그대로 적용하기 어렵다. 이 논문에서는 새로 대두된 클래스 관계 중에서도 특히 메시지 보냄 관계에 있는 클래스 연합 관계에서, 특정 메서드를 변경함으로서 영향 받는 메서드만을 찾아내어 수정 테스트 되어야 할 메서드 및 클래스를 줄이는 방법에 대하여 연구하였다.

• 천문학회보
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• 제42권2호
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• pp.60.2-61
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• 2017

A Convolutional Neural Network(CNN) is one of the well-known deep-learning methods in image processing and computer vision area. In this study, we apply CNN to two kinds of flare forecasting models: flare classification and occurrence. For this, we consider several pre-trained models (e.g., AlexNet, GoogLeNet, and ResNet) and customize them by changing several options such as the number of layers, activation function, and optimizer. Our inputs are the same number of SOHO)/MDI images for each flare class (None, C, M and X) at 00:00 UT from Jan 1996 to Dec 2010 (total 1600 images). Outputs are the results of daily flare forecasting for flare class and occurrence. We build, train, and test the models on TensorFlow, which is well-known machine learning software library developed by Google. Our major results from this study are as follows. First, most of the models have accuracies more than 0.7. Second, ResNet developed by Microsoft has the best accuracies : 0.77 for flare classification and 0.83 for flare occurrence. Third, the accuracies of these models vary greatly with changing parameters. We discuss several possibilities to improve the models.

• 한방안이비인후피부과학회지
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• 제20권2호통권33호
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• pp.199-212
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• 2007

Objective : The purpose of this clinical research was to investigate the effects of Seunggaltang on patients with atopic dermatitis. Methods : Thirteen patients were treated with Seunggaltang and ten patients were treated with placebo for 8 weeks. We observed skin humidity, skin sebum,, transepidermal water loss, skin melanin, skin erythema, total IgE class and number of allergen. And Clinic Index of Atopic Dermatitis(Extent, Intensity, Subjective symptoms, Total score) was used to evaluate the effects of Seunggaltang. Statistical analysis was performed by using paired sample T-test. Statistical significance was achieved if the probability was less than 5%(P<0.05). The result were as follows : 1. Statistically, Seunggaltang didn't showed significant effect on skin humidity, skin sebum, skin transepidermal water loss, skin melanin and skin erythema. 2. Statistically, Seunggaltang showed significant effect on Clinic Index of atopic dermatitis. 3. Statistically, Seunggaltang didn't showed significant effect on total IgE class and number of allergen. 4. Before and after treatment, the results of blood test and urinalysis were normal. Conclusion : We speculate that Seunggaltang has some therapeutic effects in mitigating the symptoms of atopic dermatitis.

• Bulletin of the Korean Chemical Society
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• 제35권1호
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• pp.165-172
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• 2014

The distribution of basic nitrogen-containing compounds in three vacuum gas oils (VGOs) with different boiling ranges and their dewaxed oils from the lube base oil refining unit of a refinery were characterized by positive-ion electrospray ionization (ESI) Fourier transform-ion cyclotron resonance mass spectrometry (FT-ICR MS). It turned out that the composition of basic nitrogen compounds in the samples varied significantly in DBE and carbon number, and the dominant basic N-containing compounds in these oil samples were N1 class species. $N_1O_1$, $N_1O_2$, and $N_2$ class species with much lower relative abundance were also identified. The composition of basic nitrogen compounds in VGOs and dewaxed VGOs were correlated with increased boiling point and varied in DBE and carbon numbers. The comparison of the analytical results between VGOs and dewaxed VGOs indicated that more basic N-containing compounds in VGO with low carbon number and small molecular weight tend to be removed by solvent refining in lube base oil processing.

• 한국대기환경학회지
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• 제12권4호
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• pp.369-376
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• 1996

Major atmospheric stability classification methods were evaluated with meteorological data obtained by scoustic sounding profiler (SODAR/RASS) in Seoul. The Psequill classificatio method, the method most widely used because of its good agreement in respect of synoptic scope under the steady state, fails to describe the time lag, the response time on stability by heating or cooling caused by daily insolation or noctrunal surface radiation. Horizontal and vertical standard deviation of wind fluctuation $(\sigma_A and \sigma_E)$ method tend to classify night-time stable condition (E, F class) into unstable condition (A, B class). The classification matrix tables for Vogt's vertical temperature difference and wind speed using method ($\Delta$T $\cdot$ U) and bulk Richardson number (Rb) were amended for practical use over Seoul. The modified tables for $\Delta$T $\cdot$ U and Rb method were made by using comprehensive frequency distribution from Pasquill's method and other existing results, and the correlation coefficient(r) was equal to 0.829. It was confirmed that atmospheric stability could be changed with monitoring site characteristics, height and vertical difference between sensors of monitoring station, and classification method itself.

• 한국통신학회논문지
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• 제23권8호
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• pp.1907-1914
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• 1998

본 논문은 측정에 근거한 연결 수락 제어에서 입력 트래픽에 따라 측정 반영 비율을 적응적으로 변화시키는 방식을 제안한다. 측정 반영 비율은 다음 갱신 기간에서 발생될 셀의 확률분포를 추정하는데 사용되는 파라미터이며 추정치와 측정치의 오차를 줄여 줄 수있다. 만약 측정 반영 비율이 고정적인 값이라면 다양한 서비스 품질을 요구하는 트래픽에 적용하기가 어렵다. 그러므로 본 논문에서는 추정치와 측정치의 차의 비율로 측정 반영 비율을 변화시켜서 추정 오차를 줄여주었다. 또한, 다양한 특성을 가진 트래픽이 다중화된 경우 각 트래픽 클래스체 대해서 개별 버퍼를 두어 다음 갱신 기간에서의 등가 대역을 적응적으로 추정하였다. 트래픽 클래스별 추정 등가 대역비에 따라 서비스를 수행하여 링크 효율을 높일 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권9호
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• pp.3421-3443
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• 2021

A data hiding method based on integer factorization via e-books in the EPUB format with XHTML and CSS files for copyright protection is proposed. Firstly, a fixed number m of leading bits in a message are transformed into an integer which is then factorized to yield k results. One of the k factorizations is chosen according to the decimal value of a number n of the subsequent message bits with n being decided as the binary logarithm of k. Next, the chosen factorization, denoted as a × b, is utilized to create a combined use of the

and elements in the XHTML files to embed the m + n message bits by including into the two elements a class selector named according to the value of a as well as a text segment with b characters. The class selector is created by the use of a CSS pseudo-element. The resulting web pages are of no visual difference from the original, achieving a steganographic effect. The security of the embedded message is also considered by randomizing the message bits before they are embedded. Good experimental results and comparisons with exiting methods show the feasibility of the proposed method for copyright protection of e-books.

• 한국환경과학회지
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• 제27권11호
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• pp.1007-1021
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• 2018

Community dynamics of benthic macroinvertebrates and biological evaluation of water quality were investigated at Gigyecheon of Pohang and Gyeongju, Korea. The survey was carried out at 8 sites from May to October, 2017. As a result, total of 104 species under 54 families, 15 orders, 8 classes in 4 phyla with 5,052 individuals were revealed. The number of species was the most abundantly identified in aquatic insects, 76 species under 34 families, 6 orders. Among them, the order Odonata was the most abundant taxon as 21 species(20.2%). The most abundant individuals were collected in the phylum Mollusca as 1,453 individuals(28.8%). Various species appeared dominantly at each site by season, and the most dominant species was Caridina denticulata denticulata belonging to the class Malacostraca with 0.08 of dominance index. According to the results of community structure analyses, the diversity and richness indices were the highest at site II, the evenness index was the highest at site I, and the dominance index was the highest at site IV. The number of species and individuals of gathering collectors were the highest among functional feeding groups. Those of sprawlers were the highest among habitat orientation groups. The ESB showed a tendency to change according to season and site, and it was the highest in May at most surveyed sites. The KSI was also somewhat fluctuated according to season and site. From these indices, average biological water quality was evaluated as class II.

• 한국안전학회지
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• 제37권2호
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• pp.18-27
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• 2022

Construction accidents are difficult to prevent because several different types of activities occur simultaneously. The current method of accident analysis only indicates the number of occurrences for one or two variables and accidents have not reduced as a result of safety measures that focus solely on individual variables. Even if accident data is analyzed to establish appropriate safety measures, it is difficult to derive significant results due to a large number of data variables, elements, and qualitative records. In this study, in order to simplify the analysis and approach this complex problem logically, data preprocessing techniques, such as latent class cluster analysis (LCCA) and predictor importance were used to discover the most influential variables. Finally, the correlation was analyzed using an alluvial flow diagram consisting of seven variables and fourteen elements based on accident data. The alluvial diagram analysis using reduced variables and elements enabled the identification of accident trends into four categories. The findings of this study demonstrate that complex and diverse construction accident data can yield relevant analysis results, assisting in the prevention of accidents.