• International Journal of Fluid Machinery and Systems
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• 제3권4호
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• pp.342-351
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• 2010

During the operation of a hydro turbine the fluid mechanical pressure loading on the turbine blades provides the driving torque on the turbine shaft. This fluid loading results in a structural load on the component which in turn causes the turbine blade to deflect. Classically, these mechanical stresses and deflections are calculated by means of finite element analysis (FEA) which applies the pressure distribution on the blade surface calculated by computational fluid dynamics (CFD) as a major boundary condition. Such an approach can be seen as a one-way coupled simulation of the fluid structure interaction (FSI) problem. In this analysis the reverse influence of the deformation on the fluid is generally neglected. Especially in axial machines the blade deformation can result in a significant impact on the turbine performance. The present paper analyzes this influence by means of fully two-way coupled FSI simulations of a propeller turbine utilizing two different approaches. The configuration has been simulated by coupling the two commercial solvers ANSYS CFX for the fluid mechanical simulation with ANSYS Classic for the structure mechanical simulation. A detailed comparison of the results for various blade stiffness by means of changing Young's Modulus are presented. The influence of the blade deformation on the runner discharge and performance will be discussed and shows for the configuration investigated no significant influence under normal structural conditions. This study also highlights that a two-way coupled fluid structure interaction simulation of a real engineering configuration is still a challenging task for today's commercially available simulation tools.

• 한국정보통신학회논문지
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• 제14권8호
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• pp.1843-1848
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• 2010

키 교환 방식은 안전한 암호 통신을 위하여 매우 중요하다. 키 교환 프로토콜은 안전성, 키 확신, 키 신선도 등의 요구사항을 만족해야 한다. 본 논문에서는 두 개의 인증된 키 교환 프로토콜로 EKE-E 와 EKE-S를 제안한다. 프로토콜들의 기본적인 생각은 암호가 단위 추가 N에 의하여 나타내어질 수 있는 것이고, 암호를 나타내는 가능한 단위 추가 N 수는 $2^N$ 이다. EKE-E는 main-in-the-middle 공격과 오프라인 사전 공격을 포함하고, 실행은 또 다른 것과 비교해서 우수하며 중요한 교환 프로토콜들의 신임도를 인증한다. EKE-S는 EKE-E에 대한 약간의 변형이다. EKE-S는 EKE-E의 공격을 보존하는 동안에 오프라인 사전 공격을 하지 못하고 암호를 습득하기 위하여 평가 실행 불가를 제공한다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제6권10호
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• pp.479-486
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• 2017

최근 GPGPU를 이용하여 저하된 컴퓨터 성능 향상폭을 높일 수 있게 되었고, 이로 인하여 높은 연산을 요구로 하는 물리 기반의 실시간 시뮬레이션을 PC에서 구동할 수 있게 되었다. 물리 시뮬레이션에서 적용되는 물리 계산은 병렬 처리로 수행되어질 수 있으며, 최근 OpenGL 4.3 및 Unity4.0에서 지원되는 Compute shader를 통한 병렬 연산을 이용하면 효율적으로 구동할 수 있다. 본 논문에서는 다양한 플랫폼을 지원하는 디지털 콘텐츠 제작 툴인 Unity와 다양한 플랫폼에서 구동되어지는 OpenGL에서의 실시간 물리 시뮬레이션에서의 성능을 측정 및 비교한다. 본 논문에서 particle 시뮬레이션의 실험 결과 Unity를 이용한 particle 시뮬레이션이 OpenGL을 이용한 particle 시뮬레이션에 비해 최대 136.04% 빠른 성능을 보인다. 이를 통하여 추후 멀티 플랫폼을 지원하는 디지털 콘텐츠를 제작함에 있어 더 나은 개발 도구를 선정할 수 있을 것으로 기대된다.

• Journal of Radiation Protection and Research
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• 제46권3호
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• pp.98-105
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• 2021

Background: In recent events of the coronavirus disease 2019 (COVID-19) pandemic, computed tomography (CT) scans are being globally used as a complement to the reverse-transcription polymerase chain reaction (RT-PCR) tests. It will be important to be aware of major organ dose levels, which are more relevant quantity to derive potential long-term adverse effect, for Korean pediatric and adult patients undergoing CT for COVID-19. Materials and Methods: We calculated organ dose conversion coefficients for Korean pediatric and adult CT patients directly from Korean pediatric and adult computational phantoms combined with Monte Carlo radiation transport techniques. We then estimated major organ doses delivered to the Korean child and adult patients undergoing CT for COVID-19 combining the dose conversion coefficients and the international survey data. We also compared our Korean dose conversion coefficients with those from Caucasian reference pediatric and adult phantoms. Results and Discussion: Based on the dose conversion coefficients we established in this study and the international survey data of COVID-19-related CT scans, we found that Korean 7-year-old child and adult males may receive about 4-32 mGy and 3-21 mGy of lung dose, respectively. We learned that the lung dose conversion coefficient for the Korean child phantom was up to 1.5-fold greater than that for the Korean adult phantom. We also found no substantial difference in dose conversion coefficients between Korean and Caucasian phantoms. Conclusion: We estimated radiation dose delivered to the Korean child and adult phantoms undergoing COVID-19-related CT examinations. The dose conversion coefficients derived for different CT scan types can be also used universally for other dosimetry studies concerning Korean CT scans. We also confirmed that the Caucasian-based CT organ dose calculation tools may be used for the Korean population with reasonable accuracy.

• Genomics & Informatics
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• 제16권4호
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• pp.26.1-26.12
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• 2018

Shigella spp. constitutes some of the key pathogens responsible for the global burden of diarrhoeal disease. With over 164 million reported cases per annum, shigellosis accounts for 1.1 million deaths each year. Majority of these cases occur among the children of the developing nations and the emergence of multi-drug resistance Shigella strains in clinical isolates demands the development of better/new drugs against this pathogen. The genome of Shigella flexneri was extensively analyzed and found 4,362 proteins among which the functions of 674 proteins, termed as hypothetical proteins (HPs) had not been previously elucidated. Amino acid sequences of all these 674 HPs were studied and the functions of a total of 39 HPs have been assigned with high level of confidence. Here we have utilized a combination of the latest versions of databases to assign the precise function of HPs for which no experimental information is available. These HPs were found to belong to various classes of proteins such as enzymes, binding proteins, signal transducers, lipoprotein, transporters, virulence and other proteins. Evaluation of the performance of the various computational tools conducted using receiver operating characteristic curve analysis and a resoundingly high average accuracy of 93.6% were obtained. Our comprehensive analysis will help to gain greater understanding for the development of many novel potential therapeutic interventions to defeat Shigella infection.

• 미생물학회지
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• 제55권1호
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• pp.1-8
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• 2019

Due to the major role played by several species of Streptococcus in the etiology of periodontitis, it is important to assess the pattern of Streptococcus pathogenic pathways within the infected subgingival pockets using a bacterial specific 16S rRNA fragment. From the total of 50 patients with periodontitis included in the study, only 23 Streptococcal isolates were considered for further analyses, in which their 16S rRNA fragments were amplified and sequenced. Then, a comprehensive phylogenetic tree was constructed and in silico prediction was performed for the observed Streptococcal species. The phylogenetic analysis of the subgingival Streptococcal species revealed a high discrimination power of the 16S rRNA fragment to accurately identify three groups of Streptococcus on the species level, including S. salivarius (14 isolates), S. anginosus (5 isolates), and S. gordonii (4 isolates). The employment of state-of-art in silico tools indicated that each Streptococcal species group was characterized with particular transcription factors that bound exclusively with a different 16S rRNA-based secondary structure. In conclusion, the observed data of the present study provided in-depth insights into the mechanism of each Streptococcal species in its pathogenesis, which differ in each observed group, according to the differences in the 16S rRNA secondary structure it takes, and the consequent binding with its corresponding transcription factors. This study paves the way for further interventions of the in silico prediction, with the main conventional in vitro microbiota identification to present an interesting insight in terms of the gene expression pattern and the signaling pathway that each pathogenic species follows in the infected subgingival site.

• 산업경영시스템학회지
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• 제42권2호
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• pp.18-27
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• 2019

The process control methods based on the statistical analysis apply the analysis method or mathematical model under the assumption that the process characteristic is normally distributed. However, the distribution of data collected by the automatic measurement system in real time is often not followed by normal distribution. As the statistical analysis tools, the process capability index (PCI) has been used a lot as a measure of process capability analysis in the production site. However, PCI has been usually used without checking the normality test for the process data. Even though the normality assumption is violated, if the analysis method under the assumption of the normal distribution is performed, this will be an incorrect result and take a wrong action. When the normality assumption is violated, we can transform the non-normal data into the normal data by using an appropriate normal transformation method. There are various methods of the normal transformation. In this paper, we consider the Box-Cox transformation among them. Hence, the purpose of the study is to expand the analysis method for the multivariate process capability index using Box-Cox transformation. This study proposes the multivariate process capability index to be able to use according to both methodologies whether data is normally distributed or not. Through the computational examples, we compare and discuss the multivariate process capability index between before and after Box-Cox transformation when the process data is not normally distributed.

• Advances in Computational Design
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• 제4권1호
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• pp.15-32
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• 2019

One of the efficient and useful tools to achieve the optimal design of structures is employing the sensitivity analysis in the finite element model. In the numerical optimization process, often the semi-analytical method is used for estimation of derivatives of the objective function with respect to design variables. Numerical methods for calculation of sensitivities are susceptible to the step size in design parameters perturbation and this is one of the great disadvantages of these methods. This article uses complex variables method to calculate the sensitivity analysis and combine it with discrete sensitivity analysis. Finally, it provides a new method to obtain the sensitivity analysis for linear structures. The use of complex variables method for sensitivity analysis has several advantages compared to other numerical methods. Implementing the finite element to calculate first derivatives of sensitivity using this method has no complexity and only requires the change in finite element meshing in the imaginary axis. This means that the real value of coordinates does not change. Second, this method has the lower dependency on the step size. In this research, the process of sensitivity analysis calculation using a finite element model based on complex variables is explained for linear problems, and some examples that have known analytical solution are solved. Results obtained by using the presented method in comparison with exact solution and also finite difference method indicate the excellent efficiency of the proposed method, and it can predict the sustainable and accurate results with the several different step sizes, despite low dependence on step size.

• 한국물환경학회지
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• 제36권6호
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• pp.621-635
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• 2020

Water quality models are scientific tools that simulate and interpret the relationship between physical, chemical and biological reactions to external pollutant loads in water systems. They are actively used as a key technology in environmental water management. With recent advances in computational power, water quality modeling technology has evolved into a coupled three-dimensional modeling of hydrodynamics, water quality, and ecological inputs. However, there is uncertainty in the simulated results due to the increasing model complexity, knowledge gaps in simulating complex aquatic ecosystem, and the distrust of stakeholders due to nontransparent modeling processes. These issues have become difficult obstacles for the practical use of water quality models in the water management decision process. The objectives of this paper were to review the theoretical background, needs, and development status of water quality modeling technology. Additionally, we present the potential future directions of water quality modeling technology as a scientific tool for national environmental water management. The main development directions can be summarized as follows: quantification of parameter sensitivities and model uncertainty, acquisition and use of high frequency and high resolution data based on IoT sensor technology, conjunctive use of mechanistic models and data-driven models, and securing transparency in the water quality modeling process. These advances in the field of water quality modeling warrant joint research with modeling experts, statisticians, and ecologists, combined with active communication between policy makers and stakeholders.

• 한국정보통신학회논문지
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• 제26권4호
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• pp.605-611
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• 2022

4차 산업 혁명의 영향으로 미래 사회에 대비한 인재를 육성하기 위해 컴퓨팅 사고력을 기반으로 하는 역량 증진이 지속적으로 강조되고 있고 이에 우리나라에서도 2018년부터 SW교육을 의무로 실시하고 있다. 이에 따라 2017년부터 SW교육 역량 정의 및 진단 도구개발에 관한 연구가 진행되었으며 이때 개발된 중학생용 진단 도구를 2018년 한차례 수정 보완하여 지금까지 사용하고 있다. 이에 중학생만을 대상으로 하는 정보 교과 역량 검사를 초등학생과 고등학생을 대상까지 확대하고자 하는 현장의 요청에 의해 2019년 SW교육 선도학교 효과성 연구의 하나로 본 연구가 시작되었다. 본 연구에서는 중학생용 진단 도구를 기준으로 초등학생과 고등학생을 위한 진단 도구를 개발하고, 전문가 타당도 검증 및 예비검사를 실시한다. 예비검사를 통해 문항의 신뢰도, 변별도, 난이도 등을 분석하여 향후 초등학생과 고등학생을 대상으로 하는 검사 도구로서 가능성을 살펴볼 수 있을 것으로 기대한다.