• Journal of Korea Trade
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• 제24권6호
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• pp.115-134
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• 2020

Purpose - International trade leads to the international division of labor, improving the efficiency of the global economic system. Transport costs are a more serious barrier to international trade than customs tariffs. An increase in competition in the transport sector may thus lead to a reduction in transport costs. However, if a carrier's nationality significantly influences transport costs, simply adding more competing carriers of different nationalities would be ineffective. Therefore, it is necessary to establish national or regional carriers to influence competition and reduce transport costs. This study investigates this "nationality effect" by treating Hanjin Shipping's collapse as a natural experiment. Design/methodology - The theoretical basis of this study is the 3rd-degree price discrimination in container shipping market. By using the monthly data of container freight rates of Korea, China and Japan, this study shows the so-called Korea Premiums, which are the empirical counterparts of nationality effect in Korea container shipping market. For this empirical investigation, the structural model with state-space form is used and the dummy models are also estimated. In addition, because China has been also affected by the Hanjin's collapse, the China premiums are considered too. Findings - Compared with Japan's case, it is shown that there had been the so-called Korea premiums since the collapse of Hanjin Shipping. These results are robust from both the state-space model and dummy models. The time pattern of Korea premiums was consistent with the market evolution, especially the pattern of substitutability in container shipping markets. In addition, this paper shows the magnitude of Korea premiums. Originality/value - The argument of this study that the nationality effect can be interpreted as an extended concept of the home market effect is original, which is expected to evoke future research efforts. Further, the discussion on the shipping industrial policy from both horizontal and vertical aspects will provide the relevant policy makers with solid information, especially for the policy coordination in a global scale.

• 여가학연구
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• 제6권3호
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• pp.39-56
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• 2009

국가 간 경쟁의 주체가 국가에서 도시를 중심으로 하는 지역으로 변화함에 따라 지역경쟁력이 국가경쟁력의 근원으로, 지역차원의 조직이 국가 간 핵심 경쟁 단위로 부상하고 있다. 이에 본 연구에서는 한국의 75개 광역·기초시를 대상으로 하는 IPS 도시경쟁력 평가 모델을 통해 도시의 경쟁력을 구체화하고, 특히, 춘천시의 현재와 미래경쟁력 평가결과를 바탕으로 춘천시의 경쟁력 강화전략을 2010년 춘천시에서 개최되는 World Leisure Congress와 World Leisure Game 행사가 춘천시에 미치는 효과를 중심으로 검토하였다. 이러한 논의는 도시의 현재경쟁력뿐만 아니라 미래경쟁력까지 포괄하여 검토함으로써 도시의 경쟁력 강화에 대한 시각의 포괄성을 제시함은 물론, 도시의 여건 및 정책의 문제점을 진단하는 준거로 삼을 수 있으며 이에 대한 문제해결과 함께 보다 발전적인 도시전략 수립을 위한 척도가 된다는 점에서 의의가 있다.

• 무역학회지
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• 제48권3호
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• pp.107-130
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• 2023

본 연구는 선진국의 최소품질표준 설정과 국가 간 상호인정협정의 경제적 효과를 파악하고, 이를 기반으로 우리나라의 최적 상호인정협정 체결 전략을 분석한다. 이를 위하여 3개국의 대표기업이 서로 다른 품질의 제품을 선진국 시장에 공급하는 모형을 설정하였다. 분석결과, 첫째, 선진국 최소품질표준의 상승은 경쟁 상황을 심화시켜 모든 기업의 이윤을 감소시키며 선진국 소비자 효용을 증대시킨다. 또한, 최소품질표준으로 인하여 기업이 시장에서 퇴출된다면 경쟁은 완화되고 남은 기업들의 품질과 이윤은 늘어난다. 둘째, 최소품질표준을 적용을 받게 되는 국가들은 상호인정협정 체결을 통하여 사회후생을 증가 시킬 수 있으며, 서로 다른 국가들 간 상호인정협정 체결의 전략적 활용이 중요하다는 결론을 얻을 수 있다. 특히 우리나라의 경우 선진국과 상호인정협정을 체결하거나 3국 모두 상호인정협정을 체결하지 않는 상황이 최적으로 나타난다.

• 대한산업공학회지
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• 제27권3호
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• pp.239-249
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• 2001

Competitive coevolution models, often called host-parasite models, are searching models that imitate the biological coevolution that is a series of reciprocal changes in two competing species. The models are known to be an effective method of solving complex and dynamic problems such as game problems, neural network design problems and constraint satisfaction problems. However, previous models consider only ectoparasites that live on the outside of the host when designing the models, not considering endoparasites that live on the inside of the host. This has a limitation to exploiting some information. In this paper, we develop an artificial adaptation model simulating the process in which hosts coevolve with both ectoparasites and endoparasites. In the model, the endoparasites play important roles as follows. By means of them, we can keep the history on results of previous competition between hosts and parasites, and use endogeneous fitness, not exogeneous. Extensive experiments are carried out to show the coevolution phenomenon and to verify the performance of the proposed model. Nim game problems and neural network problems are used as test-bed problems. The results are reported in this paper.

• Journal of Astronomy and Space Sciences
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• 제32권2호
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• pp.113-120
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• 2015

When humans explore the Moon, lunar caves will be an ideal base to provide a shelter from the hazards of radiation, meteorite impact, and extreme diurnal temperature differences. In order to ascertain the existence of caves on the Moon, it is best to visit the Moon in person. The Google Lunar X Prize(GLXP) competition started recently to attempt lunar exploration missions. Ones of those groups competing, plan to land on a pit of Lacus Mortis and determine the existence of a cave inside this pit. In this pit, there is a ramp from the entrance down to the inside of the pit, which enables a rover to approach the inner region of the pit. In this study, under the assumption of the existence of a cave in this pit, a 3D model was developed based on the optical image data. Since this model simulates the actual terrain, the rendering of the model agrees well with the image data. Furthermore, the 3D printing of this model will enable more rigorous investigations and also could be used to publicize lunar exploration missions with ease.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.36-39
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• 1998

It is very difficult for the large-scale retailers, who deal with tens of thousands of items, to price all the items dynamically reflecting all the constraints and policies. In spite of its importance, the prices are determined by human experts because the process of setting the prices of all the items is not established yet. To solve this problem, we adopt a mixed model that combines three typical pricing models: cost-plus model, competition-oriented model, and demand-oriented model. Since each model an be converted to a set of constraints in point and interval forms, solving the pricing problem with the three groups of models requires an algorithm which can solve the problem with weighted constraints of intervals and points. So we have devised an algorithm named “Point Determination Algorithm”. From the rules that represents tile models, the constraints are extracted to be solvable by tile Point Determination Algorithm. A prototype KAPA (Knowledge Assisted pricing Advisor) is developed with this idea using the expert system environment UNIK - a tool developed by KAIST. According to the experiment with 76 items in comparison with 53 human pricing experts we confirmed that the KAPA can perform highly consistent with human experts. This implies KAPA system is applicable to pricing millions of items dynamically.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권4호
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• pp.1972-1986
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• 2017

With the advent of the knowledge economy, science and technology resources have played an important role in economic competition, and their optimal allocation has been regarded as very important across the world. Thus, allocation optimization research for regional science and technology resources is significant for accelerating the reform of regional science and technology systems. Regional science and technology resource allocation optimization is modeled as a double-layer optimization model: the entire system is characterized by top-layer optimization, whereas the subsystems are characterized by bottom-layer optimization. To efficaciously solve this optimization problem, we propose a mixed search method based on the orthogonal genetic algorithm and sensitivity analysis. This novel method adopts the integrated modeling concept with a combination of the knowledge model and heuristic search model, on the basis of the heuristic search model, and simultaneously highlights the effect of the knowledge model. To compare the performance of different methods, five methods and two channels were used to address an application example. Both the optimized results and simulation time of the proposed method outperformed those of the other methods. The application of the proposed method to solve the problem of entire system optimization is feasible, correct, and effective.

• 천문학회지
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• 제40권4호
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• pp.157-160
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• 2007

I present a model to explain the mass segregation and shallow mass functions observed in the central parts of starburst stellar clusters. The model assumes that the initial pre-stellar cores mass function resulting from the turbulent fragmentation of the proto-cluster cloud is significantly altered by the cores coalescence before they collapse to form stars. With appropriate, yet realistic parameters, this model based on the competition between cores coalescence and collapse reproduces the mass spectra of the well studied Arches cluster. Namely, the slopes at the intermediate and high mass ends, as well as the peculiar bump observed at $6M_{\bigodot}$. This coalescence-collapse process occurs on a short timescale of the order of the free fall time of the proto-cluster cloud (i.e., a few $10^4$ years), suggesting that mass segregation in Arches and similar clusters is primordial. The best fitting model implies the total mass of the Arches cluster is $1.45{\times}10^5M_{\bigodot}$, which is slightly higher than the often quoted, but completeness affected, observational value of a few $10^4M_{\bigodot}$. The model implies a star formation efficiency of ${\sim}30$ percent which implies that the Arches cluster is likely to a gravitationally bound system.

• 품질경영학회지
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• 제38권3호
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• pp.463-474
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• 2010

In this study, we evaluate the efficiency of Construction Industry using Data Envelopment Analysis(DEA). Since the Construction Industry has been traditionally operated through competition, it is important to measure the efficiency. In this paper, we empirically analyze the Efficiency of the 50 Korean Construction Industry. In detail, we used the scale of efficiency in order that efficiency cannot be affected by the total technical efficiency of each company and the scale of DMU by applying CCR or BBC model. Also, we analyzed the changes of measurement DEA model score. we adopted the basic DEA, RTS Region and MPSS(Most Productive Scale Size) method which are combined with efficiency measurement model in order to analyze the operational status. Furthermore, by complementing the shortfalls of the scale efficiency value of the DEA Model, RTS Region Model can be recommended to be appropriate in the evaluation of ideal input/output Quantity. In particular, input variables are total assets, construction capacity, the technical staff and output variables are sales volume, operating income. The result of RTS Region and MPSS shows that 9 DMUs of the efficiency frontier in the Construction Industry are analyzed to be relatively efficient DMUs, and 41 DMUs are analyzed to be inefficient DMUs, and finally inefficient DMUs are separated with Region 1 and Region 6.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2001년도 학술대회지
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• pp.245-250
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• 2001

최근의 국내 건설시장은 시장 규모의 축소로 인해 과잉경쟁이 이루어지고 있으며 이에 기업들은 적극적인 수주산업인 기획제안형 주택사업 분야에 관심을 기울이고 있다. 기획제안형 사업에서 가장 중요한 단계는 사업성 여부를 판단하는 초기 기획단계로서 현재 각 기업들마다 기획업무 모델을 갖고 있으나 표준적인 모델이 제시되지 못하고 있다. 이에 본 논문에서는 국내 기업의 기획업무 절차와 문제점파악에 의한 개선 방안을 바탕으로 개발형 주택사업 의 성공적 수행을 위한 전략적 기획업무 모델을 제안하려 한다