• 한국재난관리표준학회지
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• 제3권1호
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• pp.33-42
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• 2010

본 논문에서는 전체해석과 국부해석 조합방법을 이용하여 국부손상 또는 균열의 영향을 반영한 트러스교의 전체지간에서의 응력거동을 예측하였다. 이를 위해서 전체 구조체는 프레임요소에 의한 해석을 수행하고 국부 상세부분은 쉘요소에 의한 해석을 수행하여 두 결과를 조합함으로써 교량의 연결부처럼 응력분포가 복잡한 부분에서 이동하중에 따른 응력이력을 손쉽게 산정하게 된다. 트러스 연결부의 실제 기하학적 형상 및 강성을 전체 프레임해석에 고려하기 위해 국부 쉘모델과 프레임모델의 변위 비교를 통해 프레임 모델의 단면수정계수를 산정하였으며, 실제 공용중인 트러스교의 실험값과 해석값을 비교하여 전체해석-국부해석 조합방법을 검증하였으며, 더 나아가 국부손상의 영향이 반영된 국부 쉘모델 해석결과를 전체해석에 반영시켰다.

• 융합신호처리학회논문지
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• 제7권1호
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• pp.38-44
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• 2006

The omnidirectional mobility of a mobile robot may lose significance in motion control, unless the isotropy characteristics of the mechanism is maintained well. This paper investigates the local and global isotropy of an omnidirectional mobile robot with three caster wheels. All possible actuations with different number and combination of rotating and steering joints are considered. First, the kinematic model based on velocity decomposition and the algebraic conditions for the local isotropy are obtained. Second, the geometric conditions for the local isotropy are derived and all isotropic configurations are fully identified. Third, the global isotropy index is examined to determine the optimal parameters in terms of actuation set, characteristic length, and steering link length.

• 한국농공학회지
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• 제44권7호
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• pp.1-13
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• 2002

Two global optimization methods, the SCE-UA method and the Annealing-simplex (A-S) method for calibrating a daily rainfall-runoff model, a Tank model, was compared with that of the Downhill Simplex method. The performance of the four objective functions, DRMS (daily root mean square), HMLE (heteroscedastic maximum likelihood estimator), ABSERR (mean absolute error), and NS (Nash-Sutcliffe measure), was tested and synthetic data and historical data were used. In synthetic data study. 100% success rates for all objective functions were obtained from the A-S method, and the SCE-UA method was also consistently able to obtain good estimates. The downhill simplex method was unable to escape from local optimum, the worst among the methods, and converged to the true values only when the initial guess was close to the true values. In the historical data study, the A-S method and the SCE-UA method showed consistently good results regardless of objective function. An objective function was developed with combination of DRMS and NS, which putted more weight on the low flows.

• 통상정보연구
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• 제12권1호
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• pp.403-428
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• 2010

This research is about global investment for managing the important position, what Korea is doing in World's main market. Considering there are some differences between developed countries' model and developing countries' model in doing direct overseas investment, they target to get political agreement and develop the new invest plan and strategy by understanding changes of Korean manufacturing companies in direct overseas investment between 2001 and 2008 and analyzing the change of yearly investment motivation. The result from this result let us know that company should develop their own idea for their competitive advantage by doing direct overseas investment. And, the overseas investment, which was already done in other countries, 1. Review its realities and tendency in terms of investing countries, industries, and its scale and then Set up an actual model, based on strategic combination of investing location select and determination of Korean manufacturing companies. 2. Analyze how the situational factors have influenced and what factors would be considered for direct overseas investment. From the analyzing result, even though it is fairly true that raising wage and getting resources, and developing alternating industries for export had influenced at the beginning, overseas investing companies' policy will be influenced by the results from studying marketing-pursuit type, local producing and manufacturing by using low-wage people for local sale, and situation for changing investing tendency as service industry.

• Journal of Electrical Engineering and Technology
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• 제8권3호
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• pp.464-471
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• 2013

This paper proposes a hybrid searching algorithm based on parameter identification for power system load models. Hybrid searching was performed by the combination of particle swarm optimization (PSO) and a complex method, which enhances the convergence of solutions closer to minima and takes advantage of global searching with PSO. In this paper, the load model of interest is composed of a ZIP model and a third-order model for induction motors for stability analysis, and parameter sets are obtained that best-fit the output measurement data using the hybrid search. The origin of the hybrid method is to further apply the complex method as a local search for finding better solutions using the selected particles from the performed PSO procedure.

• 전자공학회논문지
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• 제50권12호
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• pp.168-175
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• 2013

스테레오 좌우 영상간의 색 일치는 3D 영상을 재현할 때 매우 중요하다. 이를 위해 카메라 세팅 및 촬영 환경을 일치시켜서 스테레오 영상을 획득하더라도 여전히 색 불일치가 나타나게 된다. 이러한 색 불일치는 특성에 따라 전역과 지역적인 색불일치로 구분될 수 있다. 따라서 이들 특성을 고려하여 스테레오 영상의 색을 정확히 일치시킬 수 있는 방법이 필요하다. 본 논문에서는 누적 히스토그램과 3D 거리정보를 이용하여 전역과 지역의 색 불일치를 동시에 보정하는 방법을 제안한다. 먼저 기준이 되는 영상의 누적 히스토그램을 기반으로 한 매칭 함수를 이용하여 전역적으로 발생하는 색 불일치를 보정한다. 다음으로 대응되는 샘플 특징점 간의 CD-LUT(color difference look-up table)을 구성하고, disparity map을 통한 3D 거리 정보를 기반으로 한 샘플 특징점의 유사성을 기준으로 가중치를 적용하여 지역적인 색 일치를 수행한다. 마지막으로 전역적인 보정과 지역적인 보정된 영상을 결합함으로서 스테레오 영상에서 나타나는 색 불일치를 보정하였다. 색차가 발생한 스테레오 영상에 대해 기존 색 일치 방법과 제안한 방법을 비교하기 위하여 색상 유사도를(hue similarity)와 MOS(mean opinion scores) 이용하여 평가하였다. 실험 결과에서 제안한 방법을 통한 결과 영상이 기존 방법을 통한 결과 영상보다 더 높은 수치를 나타냄을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권11호
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• pp.5580-5593
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• 2019

A malicious Uniform Resource Locator (URL) recognition and detection method based on the combination of Attention mechanism with Convolutional Neural Network and Long Short-Term Memory Network (Attention-Based CNN-LSTM), is proposed. Firstly, the WHOIS check method is used to extract and filter features, including the URL texture information, the URL string statistical information of attributes and the WHOIS information, and the features are subsequently encoded and pre-processed followed by inputting them to the constructed Convolutional Neural Network (CNN) convolution layer to extract local features. Secondly, in accordance with the weights from the Attention mechanism, the generated local features are input into the Long-Short Term Memory (LSTM) model, and subsequently pooled to calculate the global features of the URLs. Finally, the URLs are detected and classified by the SoftMax function using global features. The results demonstrate that compared with the existing methods, the Attention-based CNN-LSTM mechanism has higher accuracy for malicious URL detection.

• 정보처리학회논문지C
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• 제10C권6호
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• pp.727-738
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• 2003

침입 탐지 시스템에 대하여 많은 연구 노력들이 진행되고 있다. 그러나 침입 탐지 시스템의 모델과 성능 평가에 대한 작업은 거의 찾아 볼 수 없다. 본 논문에서는 지역적인 침입 탐지를 위한 에이전트들과 전역적인 침입 탐지를 위한 집중 데이터 분석 컴포넌트를 가지고 있는 다중 도메인 환경에서 혼합 침입 탐지를 위한 통신 프레임워크를 제안한다. 또한 전체적인 프레임워크에서 호스트 기반과 네트워크 기반 침입 탐지 시스템의 결합을 가정한다. 지역 도메인에서 경보와 로그 데이터 같은 정보 집합은 상위 레벨로 보고 된다. 계위의 루트에는 데이터 합동을 수행하는 전역 매니저가 있다. 전역 매니저는 침입 탐지 경보의 집합과 상호관련의 결과로 보안 정책을 하위 레벨로 전달하게 된다. 본 논문에서는 혼합 침입 탐지 시스템을 위한 통심 메커니즘을 모델링하고 데이터 및 정책 전달을 위한 전송 능력의 성능 평가를 위하여 OPNET 모델러를 이용한 시뮬레이터를 개발한다. 여러 가지 시나리오에 기반하여 통신 지연에 초점을 두고 모의실험 결과를 제시하고 비교한다.

• 통상정보연구
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• 제11권2호
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• pp.343-367
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• 2009

This research is about global investment for managing the important position, what Korea is doing in World's main market. Considering there are some differences between developed countries' model and developing countries' model in doing direct overseas investment, they target to get political agreement and develop the new invest plan and strategy by understanding changes of Korean manufacturing companies in direct overseas investment between 2000 and 2007 and analyzing the change of yearly investment motivation factors and determining factors for investment. The result from this result let us know that company should develop their own idea for their competitive advantage by doing direct overseas investment with the existing theory which convinces the need of competitive advantage for investing overseas. I set actual model and analyze results from it with the considering that it is so important to get knowledge and information for globalizing companies to invest overseas and companies, which want to be world leading ones for their field through innovation and changes, need to have more active strategy. And, the overseas investment, which was already done in other countries, 1. Review its realities and tendency in terms of investing countries, investing industries, and its scale. 2. Set up an actual model, based on strategic combination of investing location select and determination of Korean manufacturing companies and yearly investing factor-effect analysis. 3. Analyze how the situational factors have influenced and what factors would be considered for direct overseas investment. From the analyzing result, even though it is fairly true that raising wage and getting resources, avoiding customs, and developing alternating industries for export had influenced at the beginning, overseas investing companies' policy will be influenced by the results from studying marketing-pursuit type, which emphasizes to manage trade income and outgo, keeping the balance in the black, ensuring raw materials, local producing and manufacturing by using low-wage people for local sale, and situation for changing investing tendency as service industry.

• Structural Monitoring and Maintenance
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• 제2권4호
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• pp.383-397
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• 2015

This article identifies and addresses current limitations on the use of numerical models for validation and/or calibration of damage detection methodologies that are based on the analysis of the high frequency response of the structure to identify the occurrence of abrupt anomalies. Distributed-plasticity non-linear fiber-based models in combination with experimental data from a full-scale reinforced concrete column test are used to point out current modeling techniques limitations. It was found that the numerical model was capable of reproducing the global and local response of the structure at a wide range of inelastic demands, including the occurrences of rebar ruptures. However, when abrupt sudden damage occurs, like rebar fracture, a high frequency pulse is detected in the accelerations recorded in the structure that the numerical model is incapable of reproducing. Since the occurrence of such pulse is fundamental on the detection of damage, it is proposed to add this effect to the simulated response before it is used for validation purposes.