• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.778-782
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• 2010

본 논문에서는 TLD와 TLCD를 사용한 하나의 액체 감쇠기를 이용하여 건물의 양방향 응답 제어를 연구하였다. 초고층 건물이 풍하중을 받을때는 풍방향과 풍직각방향으로 진동하여 두 개의 댐퍼를 필요로 한다. 이 논문에서 제안된 댐퍼는 건물의 양방향 응답을 하나의 감쇠기로 제어할 수 있다는 장점이 있다. 이 댐퍼의 TLCD는 건물의 주축방향으로 TLD는 주축으로 직각되는 다른 방향으로 거동을 하게 된다. 실험을 통해 양방향 감쇠기를 사용하여 건물의 양방향 응답제어를 증명하였다. 첫 번째로 양방향 감쇠기에 의한 건물의 응답제어를 알기 위한 진동대 실험을 실시하였다. 진동대 가속도를 입력으로 하고 단자유도 건물의 가속도를 출력으로 하는 전달함수를 통해 결과를 나타내었다. 실험 결과 이 연구에서 제안된 감쇠기는 단자유도 건물의 양방향 응답을 제어하였고, 비틀림 응답도 제어 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.562-564
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• 2005

비대칭 율이 높은 비대칭 망에서 동작하는 TCP의 성능은 상향 링크의 혼잡 발생 여부에 좌우된다. 상향 링크에 실리는 응답 패킷 트래픽이 링크의 대역폭을 넘어서게 되면 응답 패킷이 손실되거나 전송 지연이 길어져서 성능을 저하시킨다. 상향 링크의 혼잡 문제를 해결하는 대표적인 방법으로 응답 패킷 필터링/재생성 기법을 들 수 있다. 본 논문에서는 해당 기법의 문제점을 해결한, 송신측 TCP의 상태에 따라 응답 패킷 재생성 작업을 수행하는 동적 패킷 재생성 기법을 제안한다. 이 기법은 정확한 응답 패킷을 재생성하고, 이를 순서 뒤바뀜 없이 송신측에 전송하도록 하여 혼잡 제어 구간에서의 성능을 향상시킨다. 또, TCP가 혼잡 제어 상태에 있는 동안에만 응답 패킷 재생성 작업을 수행하도록 하여 불필요한 응답 패킷 트래픽과 패킷 재생성에 드는 부하를 줄인다.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.541-544
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• 2022

코로나19 이후로 교육의 형태가 오프라인에서 온라인으로 변화되었다. 하지만 온라인 강의 교육 서비스는 실시간 소통의 한계를 가지고 있다. 이러한 단점을 해결하기 위해 본 논문에서는 기계독해 기반 실시간 강의 질의응답 시스템을 제안한다. 본 논문연구에서는 질의응답 시스템을 만들기 위해 KorQuAD 1.0 학습 데이터를 활용해 BERT를 fine-tuning 했고 그 결과를 이용해 기계독해 기반 질의응답 시스템을 구축했다. 하지만 이렇게 구축된 챗봇은 강의 내용에 대한 질의응답에 최적화되어있지 않기 때문에 강의 내용 질의응답에 관한 문장형 데이터 셋을 구축하고 추가 학습을 수행하여 문제를 해결했다. 실험 결과 질의응답 표를 통해 문장형 답변에 대한 성능이 개선된 것을 확인할 수 있다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.531-538
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• 2011

To ensure the structural integrity of membrane type LNG tank, the rational assessment of impact pressure and structural responses due to sloshing should be preceded. The sloshing impact pressures acting on the insulation system of LNG tank are typical irregular loads and the structural responses caused by them also very complex behaviors including fluid structure interaction. So it is not easy to estimate them accurately and huge time consuming process would be necessary. In this research, a simplified method to analyze the dynamic structural responses of LNG tank insulation system under pressure time histories obtained by sloshing model test or numerical analysis was proposed. This technique basically based on the concept of linear combination of the triangular response functions which are obtained by the transient response analysis under the unit triangular impact pressure acting on structures in time domain. The validity of suggested method was verified through the example calculations and applied to the structural analysis of real Mark III type insulation system using the sloshing impact pressure time histories obtained by model test.

• Survey Research
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• v.12 no.2
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• pp.51-76
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• 2011

Analyzing the 2009 Korean General Social Survey(KGSS), this study attempts to elucidate the mechanism how content-irrelevant response patterns are formed in the social survey. This study investigates the relationship between personality traits and response styles. Specifically, the effects of Big Five factors(extraversion, agreeableness, conscientiousness, emotional stability, openness to experience) of personality on the acquiescent response styles(ARS) and extreme response styles(ERS) are examined, controlling for individual characteristics and interview contexts. The results show that ERS is positively affected by extraversion, openness to experience, agreeableness, and conscientiousness, whereas ARS is not significantly associated with any dimension of personality traits. The implications of findings and the methods to reduce response bias are discussed.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.685-696
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• 2021

The Korean Economically Active Population Survey (KEAPS) is a national survey that produces employment-related statistics. The main purpose of the survey is to find out the economic activity status (employed/ unemployed/ non-employed) of the people. KEAPS has a unique characteristics caused by the survey method. In this study, through understanding of structural non-response and utilization of past data, we would like to present an improved imputation model. The performance of the proposed model is compared with the existing model through simulation. The performance of the imputation models is evaluated based on the degree of mathing/nonmatching rates. For this, we employ the KEAPS data in November 2019. For the randomly selected ones among the total 59,996 respondents, the six explanatory variables, which are critical in determining the economic activity states, are treated as non-response. The proposed model includes industry variable and job status variable in addition to the explanatory variables used in the precedent research. This is based on the linkage and utilization of past data. The simulation results confirm that the proposed model with additional variables outperforms the existing model in the precedent research. In addition, we consider various scenarios for the number of non-responders by the economic activity status.

• Journal of the Earthquake Engineering Society of Korea
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• v.2 no.4
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• pp.169-178
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• 1998

In general, the response spectrum analysis method is widely used for seismic analysis of building structures, and the time history analysis is applied for computation of structural vibration caused by equipments, machines and moving loads, etc. However, compared with the response spectrum analysis method, the time history method is very complex, difficult and time consuming. In this study, the maximum responses for the vertical vibration are calculated conveniently by the response spectrum method. At first, Response spectrum and time history analysis for some earthquake excitations are carried out, and the accuracy of maximum displacements obtained from response spectrum analysis is investigated. Secondly, the process for the response spectrum analysis in excitation is calculated, and the maximum modal responses are combined by CQC method. Finally, results of the proposed method are compared with those of the time history analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.8
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• pp.3689-3696
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• 2011

In decision support system, knowledge workers require aggregation operations of the large data and are more interested in the trend analysis rather than in the punctual analysis. Therefore, it is necessary to provide fast approximate answers rather than exact answers, and to research approximate query answering techniques. In this paper, we propose a new approximation query answering method which is based on Fuzzy C-means clustering (FCM) method and Adaptive Neuro-Fuzzy Inference System (ANFIS). The proposed method using FCM-ANFIS can compute aggregate queries without accessing massive multidimensional data cube by producing the KR model of multidimensional data cube. In our experiments, we show that our method using the KR model outperforms the NMF method.

• Aerospace Engineering and Technology
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• v.6 no.2
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• pp.104-110
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• 2007

Analyzed is the spectral response profile specification used for the infrared (IR) channels of the meteorological imagers of GOES series geostationary satellites. The variation characteristics of effective wavelength and effective input radiance due to the change of the spectral response function profile within the imager performance specification are analyzed in order to propose how to understand the spectral response specification. As an analysis approach, at first a center symmetrical spectral response function and 4 worst case spectral response functions are selected within the spectral response specification, and then effective wavelength and effective input radiance are calculated for each spectral response function. As a result, the maximum allowable ranges of effective wavelength and effective input radiance are provided per the spectral response specification.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.43-50
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• 2004

Multi-lingual query answering system is the system which answers on the queries with several languages. LASSO[l] is the system that aims to answer the multi-lingual query. In this paper, we design and implement a Korean analysis system for LASSO. The Korean analysis system for query answering needs processing techniques of dialogue style. And the system must be practical and general so as to use on various domains. This system uses not dialogue processing techniques with high cost and low utility but heuristic rules with low cost and high utility. It is designed and implemented as a Korean interface of multi-lingual query answering system. The techniques of this system highly contribute to information retrieval and Korean analysis researches.