• Earthquakes and Structures
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• 제15권3호
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• pp.253-261
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• 2018

This article details a bridge-specific fragility method developed to enhance the seismic design and resilience of bridges. Current seismic design processes provide guidance for the design of a bridge that will not collapse during a design hazard event. However, they do not provide performance information of the bridge at different hazard levels or due to design changes. Therefore, there is a need for a supplement to this design process that will provide statistical information on the performance of a bridge, beyond traditional emphases on collapse prevention. This article proposes a bridge-specific parameterized fragility method to enable efficient estimation of various levels of damage probability for alternative bridge design parameters. A multi-parameter demand model is developed to incorporate bridge design details directly in the fragility estimation. Monte Carlo simulation and Logistic regression are used to determine the fragility of the bridge or bridge component. The resulting parameterized fragility model offers a basis for a bridge-specific design tool to explore the influence of design parameter variation on the expected performance of a bridge. When used as part of the design process, these tools can help to transform a prescriptive approach into a more performance-based approach, efficiently providing probabilistic performance information about a new bridge design. An example of the method and resulting fragility estimation is presented.

• Earthquakes and Structures
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• 제13권3호
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• pp.289-297
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• 2017

This paper presents seismic performance and reliability evaluation on steel-timber hybrid shear wall systems composed of steel moment resisting frames and infill light frame wood shear walls. Based on experimental observations, damage assessment was conducted to determine the appropriate damage-related performance objectives for the hybrid shear wall systems. Incremental time-history dynamic analyses were conducted to establish a database of seismic responses for the hybrid systems with various structural configurations. The associated reliability indices and failure probabilities were calculated by two reliability methods (i.e., fragility analysis and response surface method). Both methods yielded similar estimations of failure probabilities. This study indicated the greatly improved seismic performance of the steel-timber hybrid shear wall systems with stronger infill wood shear walls. From a probabilistic perspective, the presented results give some insights on quantifying the seismic performance of the hybrid system under different seismic hazard levels. The reliability-based approaches also serve as efficient tools to assess the performance-based seismic design methodology and calibration of relative code provisions for the proposed steel-timber hybrid shear wall systems.

• 정보보호학회논문지
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• 제27권6호
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• pp.1331-1345
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• 2017

바이너리 instrumentation 기법은 소스코드가 공개되어 있지 않은 프로그램을 모니터링하거나 디버깅을 통해 오류를 진단, 또는 메모리 정보획득 등을 위해 개발, 발전되어왔다. 그러나 instrumentation 기법을 사용한 바이너리 분석기법에 관한 연구들은 주로 그 활용방법과 누락없는 정확한 분석에 집중하고 있으며, 실용적 측면에서 중요한 성능지표인 효율성에 대한 연구는 거의 이뤄지지 않고 있다. 특히 분석도구나 알고리즘의 분석시간을 상호 비교할 수 있는 지표와 방법론이 정립되어있지 않았다. 이 연구는 바이너리 instrumentation 기법의 오버헤드를 측정하여 그 효율성을 비교평가할 수 있는 단위기능과 측정방법론을 제안한다. 또한 제안한 방법을 DynamoRIO와 Pin에 적용하여 성능차를 도출하였다. 분석도구의 효율성 비교결과는 사용목적에 따른 분석도구의 선택기준이 되며, 측정방법론은 기존도구와 앞으로 새롭게 개발될 분석도구들에 대해서도 그 효율성을 검증하는 방법으로 사용될 수 있다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 춘계학술대회
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• pp.769-770
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• 2011

본 논문에서는 정보기술 시스템온칩을 구성하는 방법을 제안하였다. 시스템온칩을 구현하기 위해 설계자는 IP의 재사용을 염두해 두어야 한다. IP 블록은 미리 설계되어지고 검증되기 때문에 설계자는 개별 부품의 올바름과 수행에 대해 거정을 하지 않아도 된다.또한, 정보기술 시스템온침의 임베디드된 코어는 시스템 레벨의 테스트 메카니즘을 호출하여 사용한다. 실제에 있어, IP 블록을 사용하여 조립할 때 아직까지는 error-prone, labor-intensive, time-consuming 과정을 사용한다. 본 논문에서는 시스템온칩 설계자가 IP 블록과 툴을 사용하는 것에 �X점을 맞추었다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2017년도 9th Asian Crop Science Association conference
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• pp.14-14
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• 2017

The discipline of plant breeding is experiencing a renaissance impacting crop improvement as a result of new technologies, however fundamental questions remain for predicting the phenotype and how the environment and genetics shape it. Inexpensive DNA sequencing, genotyping, new statistical methods, high throughput phenotyping and gene-editing are revolutionizing breeding methods and strategies for improving both quantitative and qualitative traits. Genomic selection (GS) models use genome-wide markers to predict performance for both phenotyped and non-phenotyped individuals. Aerial and ground imaging systems generate data on correlated traits such as canopy temperature and normalized difference vegetative index that can be combined with genotypes in multivariate models to further increase prediction accuracy and reduce the cost of advanced trials with limited replication in time and space. Design of a GS training population is crucial to the accuracy of prediction models and can be affected by many factors including population structure and composition. Prediction models can incorporate performance over multiple environments and assess GxE effects to identify a highly predictive subset of environments. We have developed a methodology for analyzing unbalanced datasets using genome-wide marker effects to group environments and identify outlier environments. Environmental covariates can be identified using a crop model and used in a GS model to predict GxE in unobserved environments and to predict performance in climate change scenarios. These new tools and knowledge challenge the plant breeder to ask the right questions and choose the tools that are appropriate for their crop and target traits. Contemporary plant breeding requires teams of people with expertise in genetics, phenotyping and statistics to improve efficiency and increase prediction accuracy in terms of genotypes, experimental design and environment sampling.

• Nuclear Engineering and Technology
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• 제42권2호
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• pp.145-150
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• 2010

The paper is describing work being developed in the frame of a 5-year IAEA Coordinated Research Programme (CRP) started in late 2005. Participants gained knowledge of modelling methodologies and experience in the development and use of rather sophisticated simulation tools in support of site characterization and performance assessment calculations. These goals were achieved by a coordinated effort, in which the advantages and limitations of numerical models are examined and demonstrated through a comparative analysis of simplified, illustrative test cases. This knowledge and experience should help them address these issues in their own country's nuclear waste program. Coordination efforts during the first three years of the project aimed at enabling this transfer of expertise and maximizing the learning experience of the participants as a group. This was accomplished by identifying common interests of the participants (i.e., Process Modelling and Total System Performance Assessment methodology), and by defining complementary tasks that are solved by the members. Synthesis of all available results by comparative assessments is planned in the coming months. The project will be completed end of 2010. This paper is summarizing activities up to November 2009.

• 한국콘텐츠학회논문지
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• 제11권2호
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• pp.113-125
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• 2011

본 논문에서는 미디어 아트 콘텐츠 저작도구인 ECAS(Exhibition Contents Authoring System)와 그 개발 방법을 소개한다. ECAS는 기존의 저작도구가 가진 텍스트 기반의 프로그래밍 방식의 문제점을 개선하기 위해 그래픽 사용자 인터페이스를 기반으로 개발되었으며, 그래픽 사용자 인터페이스의 효율적인 구현을 위해 Eclipse가 제공하는 GMF(Graphical Modeling Framework) 기법을 사용하였다. ECAS의 속도 및 성능 향상을 위해 SWT(Standard Widget Toolkit), JIT(Just-In-Time)와 같은 속도 향상 기법들을 활용하였다. 얼굴 검출 기능, 사운드 효과 기능, 하드웨어 연동 기능 등의 주요 기능들을 중심으로 기존의 저작도구와 작품 구현 비교를 통해 ECAS의 편리성과 효율성을 보였다.

• 한국정보보호학회:학술대회논문집
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• 한국정보보호학회 1995년도 종합학술발표회논문집
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• pp.51-58
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• 1995

The importance of the risk analysis tool has been recognized and its use also has been emphasized by a number of researchers recently The methodology were examined but neither algorithms nor practical applications have been implemented or practiced in Korea. In this paper, the architecture of the Buddy System, one of the automated risk assessment tools. is analyzed in depth to provide the algorithmic understanding and to promote the development of the risk analysis methodology. The Buddy System mainly uses three main factors of vulnerability, threat and countermeasures as a nucleus of the qualatative analysis with the modified loss expectancy value. These factors are identified and assessed by the separation of duties between the end user and security analyst. The Buddy System uses five axioms as its bases of assessment algorithm and the assessed vulnerability level is strictly within these axioms. Since the In-place countermeasures reduce the vulnerability level up to a certain level. the security analyst may use "what if " model to examine the impact of additional countermeasures by proposing each to reduce the vulnerability level further to within the acceptable range. The emphasis on the qualitative approach on vulnerability leveling is very well balanced with the quantitative analysis that the system performance is prominent.prominent.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.698-701
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• 2004

In many literatures, data mining has been used as a utilization of data warehouse and data collection. The biggest utilizations of data mining are for marketing and researches. This is solely because of the data available for this field is usually in large amount. The usability of the data mining is expandable also to the production process. While the object of research of the data mining in marketing is the customers and products, data mining in the production field is object to the so called 4MlE, man, machine, materials, method (recipe) and environment. All of the elements are important to the production process which determines the quality of the product. Because the final aim of the data mining in production field is the quality of the production, this data mining is commonly recognized as quality data mining. As the variables researched in quality data mining can be hundreds or more, it could take a long time to reveal the information from the data warehouse. Feature selection methodology is proposed to help the research take the best performance in a relatively short time. The usage of available simple statistical tools in this method can help the speed of the mining.

• 에너지공학
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• 제29권1호
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• pp.25-33
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• 2020

최근 제로에너지건축물 의무화 정책이 추진됨에 따라 Zero Energy School로의 전환을 위한 정책/제도들이 추진되고 있으나 학교 건물에 대하여 에너지절감 활동결과 그 성과를 체계적으로 분석, 검증할 수 있는 방법이 제시되어 있지 않는 상황이다. 에너지성과 검증방법론 연구를 위하여 관련 유사표준들의 현황을 참고하였으며, 그 외 방법론들의 사례 조사를 통해 현장에서 성과를 분석해 볼 수 있는 Tool에 대한 검토와 더불어 국내 학교 현장방문을 통한 에너지관리 실태 및 특성을 분석하였다. 본 논문에서는 신규, 기존학교 건물에서의 냉난방설비, 조명, 단열 강화, 운영행태 변경, 운전방법 개선 등 각종 에너지절약사업의 수행과 에너지절약사업 이행 전·후의 에너지절감량을 검증할 수 있는 M&V 방법 등에 대하여 제시하였다.