• Structural Engineering and Mechanics
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• 제64권5호
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• pp.611-620
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• 2017

A new theory of weightless sagging planer elasto-flexible cables under point loads is developed earlier by the authors and used for predicting the nonlinear dynamic response of cable-suspended linear elastic beams. However, this theory is not valid for nonlinear elastic cracked concrete beams possessing different positive and negative flexural rigidity. In the present paper, the flexural response of simply supported cracked concrete beams suspended from cables by two hangers is presented. Following a procedure established earlier, rate-type constitutive equations and third order nonlinear differential equations of motion for the structures undergoing small elastic displacements are derived. Upon general quasi-static loading, negative nodal forces, moments and support reactions may be introduced in the cable-suspended concrete beams and linear modal frequencies may abruptly change. Subharmonic resonances are predicted under harmonic loading. Uncoupling of the nodal response is proposed as a more general criterion of crossover phenomenon. Significance of the bilinearity ratio of the concrete beam and elasto-configurational displacements of the cable for the structural response is brought out. The relevance of the proposed theory for the analysis and the design of the cable-suspended bridges is critically evaluated.

• Nuclear Engineering and Technology
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• 제52권5호
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• pp.984-994
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• 2020

It is reported that about 20% of accidents at nuclear power plants in Korea and abroad are caused by human error. One of the main factors contributing to human error is fatigue, so it is necessary to prevent human errors that may occur when the task is performed in an improper state by grasping the status of the operator in advance. In this study, we propose a method of evaluating operator's fitness-for-duty (FFD) using various parameters including eye movement data, subjective fatigue ratings, and operator's performance. Parameters for evaluating FFD were selected through a literature survey. We performed experiments that test subjects who felt various levels of fatigue monitor information of indicators and diagnose a system malfunction. In order to find meaningful characteristics in measured data consisting of various parameters, hierarchical clustering analysis, an unsupervised machine-learning technique, is used. The characteristics of each cluster were analyzed; fitness-for-duty of each cluster was evaluated. The appropriateness of the number of clusters obtained through clustering analysis was evaluated using both the Elbow and Silhouette methods. Finally, it was statistically shown that the suggested methodology for evaluating FFD does not generate additional fatigue in subjects. Relevance to industry: The methodology for evaluating an operator's fitness for duty in advance is proposed, and it can prevent human errors that might be caused by inappropriate condition in nuclear industries.

• 한국수자원학회논문집
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• 제56권11호
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• pp.801-813
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• 2023

최근 인공신경망(Artificial Neural Network, ANN)의 연구가 활발하게 진행되면서 ANN을 이용하여 하천의 수질을 예측하는 연구가 진행되고 있다. 그러나 ANN은 Black-box의 형태이기 때문에 ANN 내부의 연산과정을 분석하는데 어려움이 있다. ANN의 연산과정을 분석하기 위해 설명가능한 인공지능(eXplainable Artificial Intelligence, XAI) 기술이 사용되고 있으나, 수자원 분야에서 XAI 기술을 활용한 연구는 미비한 실정이다. 본 연구는 XAI 기술 중 Layer-wise Relevance Propagation (LRP)을 사용하여 낙동강의 다산 수질관측소의 수온, 용존산소량, 수소이온농도 및 엽록소-a를 예측하기 위한 Multi Layer Perceptron (MLP)을 분석하였다. LRP를 기반으로 수질을 학습한 MLP를 분석하여 수질을 예측하기 위한 최적의 입력자료를 선정하고, 최적의 입력자료를 이용하여 학습한 MLP의 예측결과에 대한 분석을 실시하였다. LRP를 이용하여 최적의 입력자료를 선정한 결과를 보면, 수온, 용존산소량, 수소이온농도 및 엽록소-a 모두 주변지역의 일 강수량을 제외한 입력자료를 학습한 MLP의 예측정확도가 가장 높았다. MLP의 용존산소량 예측결과에 대한 분석결과를 보면, 최고점에서 수소이온농도 및 용존산소량의 영향이 크고 최저점에서는 수온의 영향이 큰 것으로 분석되었다.

• 지능정보연구
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• 제24권1호
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• pp.183-203
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• 2018

전통적으로 신문 매체는 국내외에서 발생하는 사건들을 살피는 데에 가장 적합한 매체이다. 최근에는 정보통신 기술의 발달로 온라인 뉴스 매체가 다양하게 등장하면서 주변에서 일어나는 사건들에 대한 보도가 크게 증가하였고, 이것은 독자들에게 많은 양의 정보를 보다 빠르고 편리하게 접할 기회를 제공함과 동시에 감당할 수 없는 많은 양의 정보소비라는 문제점도 제공하고 있다. 본 연구에서는 방대한 양의 뉴스기사로부터 데이터를 추출하여 주요 사건을 감지하고, 사건들 간의 관련성을 판단하여 사건 네트워크를 구축함으로써 독자들에게 현시적이고 요약적인 사건정보를 제공하는 기법을 제안하는 것을 목적으로 한다. 이를 위해 2016년 3월에서 2017년 3월까지의 한국 정치 및 사회 기사를 수집하였고, 전처리과정에서 NPMI와 Word2Vec 기법을 활용하여 고유명사 및 합성명사와 이형동의어 추출의 정확성을 높였다. 그리고 LDA 토픽 모델링을 실시하여 날짜별로 주제 분포를 계산하고 주제 분포의 최고점을 찾아 사건을 탐지하는 데 사용하였다. 또한 사건 네트워크를 구축하기 위해 탐지된 사건들 간의 관련성을 측정을 위하여 두 사건이 같은 뉴스 기사에 동시에 등장할수록 서로 더 연관이 있을 것이라는 가정을 바탕으로 코사인 유사도를 확장하여 관련성 점수를 계산하는데 사용하였다. 최종적으로 각 사건은 각의 정점으로, 그리고 사건 간의 관련성 점수는 정점들을 잇는 간선으로 설정하여 사건 네트워크를 구축하였다. 본 연구에서 제시한 사건 네트워크는 1년간 한국에서 발생했던 정치 및 사회 분야의 주요 사건들이 시간 순으로 정렬되었고, 이와 동시에 특정 사건이 어떤 사건과 관련이 있는지 파악하는데 도움을 주었다. 또한 일련의 사건들의 시발점이 되는 사건이 무엇이었는가도 확인이 가능하였다. 본 연구는 텍스트 전처리 과정에서 다양한 텍스트 마이닝 기법과 새로이 주목받고 있는 Word2vec 기법을 적용하여 봄으로써 기존의 한글 텍스트 분석에서 어려움을 겪고 있었던 고유명사 및 합성명사 추출과 이형동의어의 정확도를 높였다는 것에서 학문적 의의를 찾을 수 있다. 그리고, LDA 토픽 모델링을 활용하기에 방대한 양의 데이터를 쉽게 분석 가능하다는 것과 기존의 사건 탐지에서는 파악하기 어려웠던 사건 간 관련성을 주제 동시출현을 통해 파악할 수 있다는 점에서 기존의 사건 탐지 방법과 차별화된다.

• Nuclear Engineering and Technology
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• 제53권6호
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• pp.2046-2055
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• 2021

This paper analyzed the primary concerns about radiation among the Korean public with a big data analysis of questions posted at the section of "Knowledge iN" on the portal site NAVER in Korea from January 2010 to August 2020. First, we extracted questions about radiation and categorized them into the three categories with TF-IDF analysis: "Medical," "Career Counseling," and "General Interest". The "Medical" category includes questions about radiation diagnosis or treatment. The "Career Counseling" category includes questions about entering college and the prospect of finding jobs in radiation-related fields. The "General Interest" category includes questions about terminology and the basic knowledge of radiation or radioisotopes. Second, we extracted common questions for each category. Finally, we analyzed the temporal change in the numbers of questions for each category to confirm whether there is any correlation between radiation-related events and the number of questions. The analysis results demonstrate that major radiation-related events have little relevance to the number of questions except during March 2011.

• Journal of Veterinary Science
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• 제25권4호
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• pp.54.1-54.16
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• 2024

Importance: As one of the main etiologic agents of infectious diseases in pigs, pseudorabies virus (PRV) infections have caused enormous economic losses worldwide. EP0, one of the PRV early proteins (EP) plays a vital role in PRV infections, but the mechanisms are unclear. Objective: This study examined the function of EP0 to provide a direction for its in-depth analysis. Methods: In this study, the EP0-deleted PRV mutant was obtained, and Tandem Mass Tag-based proteomic analysis was used to screen the differentially expressed proteins (DEPs) quantitatively in EP0-deleted PRV- or wild-type PRV-infected porcine kidney 15 cells. Results: This study identified 7,391 DEPs, including 120 and 21 up-regulated and down-regulated DEPs, respectively. Western blot analysis confirmed the changes in the expression of the selected proteins, such as speckled protein 100. Comprehensive analysis revealed 141 DEPs involved in various biological processes and molecular functions, such as transcription regulator activity, biological regulation, and localization. Conclusions and Relevance: These results holistically outlined the functions of EP0 during a PRV infection and might provide a direction for more detailed function studies of EP0 and the stimulation of lytic PRV infections.

• International Journal of Aeronautical and Space Sciences
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• 제13권3호
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• pp.361-368
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• 2012

This paper presents an approach on the design of a nonlinear controller to track a reference velocity for an air-breathing supersonic vehicle. The nonlinear control scheme involves an adaptation of propulsive and aerodynamic characteristics in the equations of motion. In this paper, the coefficients of given thrust and drag functions are estimated and they are used to approximate the equations of motion under varying flight conditions. The form of the function of propulsive thrust is extracted from a thrust database which is given by preliminary engine input/output performance analysis. The aerodynamic drag is approximated as a function of angle of attack and fin deflection. The nonlinear controller, designed by using the approximated nonlinear control model equations, provides engine fuel supply command to follow the desired velocity varying with time. On the other hand, the stabilization of altitude, separated from the velocity control scheme, is done by a classical altitude hold autopilot design. Finally, several simulations are performed in order to demonstrate the relevance of the controller design regarding the vehicle.

• 산업기술연구
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• 제19권
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• pp.235-243
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• 1999

Vibration analysis for some of simple supported antisymmetric composite laminated plate loaded uniformly distributed axial force and attached mass was carried out. Because it is complicated to analysis this type of plate by theory of antisymmetric laminate, possibility for application of theory of special orthotropic laminate was studied, and natural frequency of laminated plate attached mass was calculated. Stiffness $B_{16}$, $B_{26}$, $D_{16}$, $D_{26}$ for this type of antisymmetric laminated plate converge on zero as the number of ply increases and it is possible to use classical theory by reason that considered plate has quasi-homogeneity without relevance to variation of angle. Difference between results by theory of antisymmetric and special orthotropic laminate is 0.36~1.96%, therefore it is convenient to analyze this by use of theory of special orthotropic laminate. When composite laminated plate with attached mass is analyzed range that was able to neglect self-weight of plate was proposed.

• 디지털콘텐츠학회 논문지
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• 제17권2호
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• pp.97-103
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• 2016

이 논문에서는 심장이상 관리와 심혈관 위험 평가를 위해 임상 관련성과 연관지어 주요한 요소와 원인을 파악하는데 필요한 심전도(ECG) 데이터의 시각화 분석을 위해 경험한 기술을 소개한다. 특히, MIT-BIH ECG 데이터베이스를 기반으로 복잡한 ECG 데이터를 시각화하여 다양한 차트, 그래프로 표현할 수 있는 접근방법을 소개한다. 이러한 경험 기술 소개를 통해 많은 연구자들은 ECG 데이터베이스를 보다 쉽게 접근할 수 있고 다양한 형태로 시각화된 ECG 데이터의 의미를 직관적으로 이해할 수 있다.

• 산업경영시스템학회지
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• 제32권4호
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• pp.25-37
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• 2009

This Study constructs a dashboard system to synthetically and systematically monitor national R&D information based on data warehouse. Managing the national R&D statistics and trend is important since it provides data for policies and decision making for national R&D. Many agencies related to national R&D information collect the basic R&D statistic data which provides the basis of logical decision making and R&D policies. The data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent national R&D monitoring system to increase the relevance, accessibility and efficiency of data for various users. This study selects 25 key indicators based on the user requirements and designs data warehouse for supporting the indicators using star schema. The dashboard system is developed in this study provides the infrastructure of monitoring national R&D information and analytic environment of supporting statistical analysis and time-series data analysis.