• 한국항만경제학회지
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• 제25권1호
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• pp.87-106
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• 2009

본 논문은 국제물류허브를 위한 광양항의 벤치마킹 중대 방안에 관한 연구로서, 최근 세계 각 국은 경제 무역 및 기업의 글로벌화로 인하여 국제물류의 흐름을 주도하기 위하여 각 국 마다 생산 및 물류중심화를 추진하고 있으며, 범정부 차원에서 국가경제 발전의 주요한 전략으로서 자국을 세계의 생산 및 물류중심화로 발전시키려고 노력하고 있다. 본 연구는 광양항이 자유무역지역으로 지정됨에 따라 광양항이 국제물류거점지로 발전할 수 있을 것인지를 광양항의 자체 여건에 대하여 고찰하였고, 광양항 자유무역지역의 발전 전망을 외국의 사례와 함께 비교 분석하였다. 광양항 자유무역지역이 활성화되기 위해서는, 첫째 한국과 경쟁관계에 있는 중국, 홍콩, 싱가포르, 대만 등을 감안하여 광양항 자유무역지역이 성공하기 위해서 이들 외국의 사례와 같이 입주업체에 대한 인센티브를 적극적으로 확충하고 투자를 유치해야 한다. 둘째, 투자를 유치하기 위해서는 투자업체에 대한 각 종 규제와 법규의 완화가 필요하고 서비스를 강화해야 한다. 두바이, 싱가포르, 상해 등의 사례와 같이 각 종 규제와 복잡한 행정절차를 간소화 하여야 한다. 셋째, 한국에서 외국인 투자를 유치하기 위해 가장 중요한 것은 파업이 얼고 노사가 안정되어 있는 국가로 만드는 것이 선행조건이라 할 수 있다. 광양항 자유무역지역이 앞으로 장기적 성장세를 지속하기 위해서는 노사관계의 안정 및 노동시장의 유연화가 필요하다. 넷째, 경제자유구역, 관세자유지역, 자유무역지역 등의 법규내용과 목적이 상호 중복되면서도 상이하여 똑 같이 국내외 투자업체를 대상으로 경쟁할 수밖에 없고, 설정된 지역이 다소 중복되는 경향이 있기 때문에 이러한 제도의 장점 단점을 분석하여 통합되어 운영하는 것이 필요하다.

• 통상정보연구
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• 제15권4호
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• pp.267-286
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• 2013

WCO TRS는 국경통관절차의 효율성을 평가하는 방법이며 간단히 무역원활화를 개선하는 관점에서 무역원활화 활동을 측정하는 도구이다. 이와 같은 TRS는 국경통과절차상의 문제점을 확인하고 확인된 문제점에 대한 개선책을 마련하기 위한 기초 자료로 활용될 수 있으며 무역원활화 개선 수준을 확인시켜 주며 다른 국가와의 비교 자료로 활용될 수 있다. 또한 더 나아가 개선된 무역원활화를 통해 무역업계의 경쟁력 강화에도 기여하게 될 것이다. 이 같은 유용성을 가지고 있는 TRS를 보다 효과적으로 활용하기 위해서 한국 관세행정당국은 현재까지 추진해오고 있는 CLIS를 통한 물품반출소요시간 측정을 지속적으로 해 나가야 할 뿐만 아니라 수입에만 치중되어 있는 반출소요시간 연구를 수출 TRS까지 확대해 나가서 전체 수출입 물품 반출시간의 효율화에 힘써야 할 것이다. 또한 중국, 일본, 미국과 같은 주요 교역상대국과 공동 TRS를 추진하여 자국내 뿐만 아니라 전체 국제무역공급망의 간소화, 표준화, 조화가 이루어질 수 있도록 해야 할 것이며 아울러 한국 관세청의 최첨단 물품반출소요시간 간소화 경험을 후진국에 전수하여 전체 국제물류공급망의 원활화에 기여할 뿐만 아니라 후진국의 수출입절차상의 역량강화(Capacity Building)에 기여함으로 국제적 위상제고에도 기여할 수 있도록 해야 할 것이다.

• International Journal of Control, Automation, and Systems
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• 제5권4호
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• pp.444-455
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• 2007

An approach to construct multiple interpretable and precise fuzzy systems based on the Pareto Multi-objective Cooperative Coevolutionary Algorithm (PMOCCA) is proposed in this paper. First, a modified fuzzy clustering algorithm is used to construct antecedents of fuzzy system, and consequents are identified separately to reduce computational burden. Then, the PMOCCA and the interpretability-driven simplification techniques are executed to optimize the initial fuzzy system with three objectives: the precision performance, the number of fuzzy rules and the number of fuzzy sets; thus both the precision and the interpretability of the fuzzy systems are improved. In order to select the best individuals from each species, we generalize the NSGA-II algorithm from one species to multi-species, and propose a new non-dominated sorting technique and collaboration mechanism for cooperative coevolutionary algorithm. Finally, the proposed approach is applied to two benchmark problems, and the results show its validity.

• 한국통신학회논문지
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• 제30권5A
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• pp.370-375
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• 2005

인터넷 및 통신망 국제표준 단체들은 자신들의 망에서 서비스 품질 보장형 기능을 제공하기 위한 방안으로써 공통적으로 리키버킷에 의한 입력 트래픽 정의 방법을 채택하고 있다. 반면, 그동안 연구결과는 멀티미디어 트래픽의 버스트특성이 시간적으로 광범위한 준위에 걸쳐 있음을 확인하고 있다. 이러한 두개의 상반되는 현실을 해결하기 위하여 본 논문에서는 임계 시준위 개념을 사용한 표준적 트래픽 기술자계산 방법을 제안하고 이를 시뮬레이션을 통하여 분석하였다. 제안된 알고리듬은 지연치가 주어진 상태에서 최상의 성능을 얻음을 수학적으로 증명하였고, 실제 시스템 응용에 대하여 제안하였다.

• 영어어문교육
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• 제12권1호
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• pp.221-238
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• 2006

This study investigates the reliability of plagiarism measurement in the ESL essay writing context. The current study aims to address the answers to the following research questions: 1) How does plagiarism measurement affect test reliability in a psychometric view? and 2) how do raters conceive the plagiarism in their analytic scoring? This study uses the mixed-methodology that crosses quantitative-qualitative techniques. Thirty eight international students took an ESL placement writing test offered by the University of Illinois. Two native expert raters rated students' essays in terms of 5 analytic features (organization, content, language use, source use, plagiarism) and made a holistic score using a scoring benchmark. For research question 1, the current study, using G-theory and Multi-facet Rasch model, found that plagiarism measurement threatened test reliability. For research question 2, two native raters and one non-native rater in their email correspondences responded that plagiarism was not a valid analytic area to be measured in a large-scale writing test. They viewed the plagiarism as a difficult measurement are. In conclusion, this study proposes that a systematic training program for avoiding plagiarism should be given to students. In addition, this study suggested that plagiarism is measured reliably in the small-scale classroom test.

• International Journal of Naval Architecture and Ocean Engineering
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• 제10권3호
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• pp.329-347
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• 2018

The Smoothed Particle Hydrodynamics (SPH) method has proved to have great potentials in dealing with the wave-structure interactions. Compared with the Weakly Compressible SPH (WCSPH) method, the ISPH approach solves the pressure by using the pressure Poisson equation rather than the equation of state. This could provide a more stable and accurate pressure field that is important in the study of wave-structure interactions. This paper improves the solid boundary treatment of ISPH by using a high accuracy Simplified Finite Difference Interpolation (SFDI) scheme for the 2D wave-structure coupling problems, especially for free-moving structure. The proposed method is referred as the ISPH_BS. The model improvement is demonstrated by the documented benchmark tests and laboratory experiment covering various wave-structure interaction applications.

• International Journal of Control, Automation, and Systems
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• 제3권3호
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• pp.387-396
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• 2005

The Rotational/Translational Actuator (RTAC) benchmark problem considers a fourth-order dynamical system involving the nonlinear interaction of a translational oscillator and an eccentric rotational proof mass. This problem has been posed to investigate the utility of a rotational actuator for stabilizing translational motion. In order to experimentally implement any of the model-based controllers proposed in the literature, the values of model parameters are required which are generally difficult to determine rigorously. In this paper, an approach to the least-squares estimation of the parameters of a system is formulated and practically applied to the RTAC system. On the other hand, this paper shows how to model a nonlinear system as a linear uncertain system via nonparametric system identification, in order to provide the information required for linear robust $H_\infty$ control design. This method is also applied to the RTAC system, which demonstrates severe nonlinearities, due to the coupling from the rotational motion to the translational motion. Experimental results confirm that this approach can effectively condense the whole nonlinearities, uncertainties, and disturbances within the system into a favorable perturbation block.

• International Journal of Contents
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• 제10권1호
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• pp.1-11
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• 2014

In the current generation of smart mobile devices, object tracking is one of the most important research topics for computer vision. Because human face tracking can be widely used for many applications, collecting a dataset of face videos is necessary for evaluating the performance of a tracker and for comparing different approaches. Unfortunately, the well-known benchmark datasets of face videos are not sufficiently diverse. As a result, it is difficult to compare the accuracy between different tracking algorithms in various conditions, namely illumination, background complexity, and subject movement. In this paper, we propose a new dataset that includes 91 face video clips that were recorded in different conditions. We also provide a semi-automatic ground-truth generation tool that can easily be used to evaluate the performance of face tracking systems. This tool helps to maintain the consistency of the definitions for the ground-truth in each frame. The resulting video data set is used to evaluate well-known approaches and test their efficiency.

• Earthquakes and Structures
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• 제12권1호
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• pp.91-108
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• 2017

Superstructures and isolation systems of seismically isolated buildings located close to active faults may observe increased seismic demands resulting from long-period and high-amplitude velocity and displacement pulses existent in near-fault ground motions as their fundamental periods may be close to or coincident with these near-fault pulse periods. In order to take these effects into account, the 1997 Uniform Building Code (UBC97) has specified near-source factors that scale up the design spectrum depending on the closest distance to the fault, the soil type at the site, and the properties of the seismic source. Although UBC97 has been superseded by the 2015 International Building Code in the U.S.A., UBC97 near-source factors are still frequently referred in the design of seismically isolated buildings around the world. Therefore it is deemed necessary and thus set as the aim of this study to assess the necessity and the adequacy of near-source factors for seismically isolated buildings. Benchmark buildings of different heights with isolation systems of different properties are used in comparing seismic responses obtained via time history analyses using a large number of historical earthquakes with those obtained from spectral analyses using the amplified spectrums established through UBC97 near-source factors. Results show that near-source factors are necessary but inadequate for superstructure responses and somewhat unconservative for base displacement response.

• Journal of Computing Science and Engineering
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• 제5권4호
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• pp.305-313
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• 2011

Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher detection rate and a lower false alarm rate in a shorter time. This paper focuses on two classification types: a single class (normal, or attack), and a multi class (normal, DoS, PRB, R2L, U2R), where the category of attack is also detected by the NN. Extensive analysis is conducted in order to assess the translation of symbolic data, partitioning of the training data and the complexity of the architecture. This paper investigates two engines; the first engine is the back-propagation neural network intrusion detection system (BPNNIDS) and the second engine is the radial basis function neural network intrusion detection system (BPNNIDS). The two engines proposed in this paper are tested against traditional and other machine learning algorithms using a common dataset: the DARPA 98 KDD99 benchmark dataset from International Knowledge Discovery and Data Mining Tools. BPNNIDS shows a superior response compared to the other techniques reported in literature especially in terms of response time, detection rate and false positive rate.