• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.173-176
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• 1996

정보통신기술은 현재 및 미래의 생활양식, 사회모습, 정치/경제/문화등에 이르기까지 모든 분양에 미치는 파급효과가 크기 때문에, 정보통신 기술개발에 관한 의사결정에 있어서는 기술 정책적인 고려가 반드시 필요하다. 그러나, 그 동안 정보통신 기술개발에 관한 의사결정에서 국가 차원의 정책적 고려가 매우 미흡하였다. 본 연구에서는 정보통신 분야에서의 기술정책에 대한 체계적 접근을 시도하였다. 본 연구의 결과는 세부분으로 구성되어 있다. 첫째, 정보통신 분야 기술정책의 체계를 제시하였다. 기존의 관련자료와 기술개발 전문가 및 정책 입안자들과의 면담을 거쳐 본 연구에서는 정보통신 기술정책에 포함되어야 할 주요내용을 1. 비전 및 우선순, 2. 산업조직및 하부구조, 3. 기술확보, 관리및 활용, 4. 정부 역할 및 정책 추진 기본 체계, 5. 국가 기술혁신시스템의 구축등 5개 부문으로 구분하고 각 부문별로 우리나라 정책현황과 문제점, 개선방안을 검토하였다. 둘째, 정보통신 기술개발에 관한 의사결정에서 고려해야 할 사항들을 정리하여 3단계 기술정책 수립모형을 개발하였다. 1단계에서는 검토대상사업이 정보통신 기술정책의 기본 지침과 일치하는지 확인하고, 2단계에서는 검토대상사업이 정보통신 기술정책의 내용상 우선순위에 부합하는지 검토한다. 3단계에서는 구체적인 기술정책지표에 의해 검토대상사업을 항목별로 검토하고 종합평가하여 최종의사결정을 한다. 여러 기술정책지표 항목들에 대해 가중치를 주어 평점모형(Scoring Model)을 통해 종합지표를 산출할 수도 있다. 셋째, 본 연구에서 제시한 3단계 기술정책 의사결정과정 모형을 CDMA 개발의 타당성을 검증하였다., (4) 교수-학생간의 인간적인 관계, (5) 숙제 및 과제물과 같은 5가지의 요인으로 구성되어진 것으로 분석되었다. 특히 한국학생을 대상으로 하여 AHP를 이용하여 각 요인들의 수업효과에 대한 상대적 가중치를 조사하였다. 특이한 결과는, 미국학생의 경우 수업준비 및 강의 방법이 상대적으로 중시된 반면, 한국학생들은 미국학생들이 비교적 덜 중시하는 교수-학생간의 인간적인 관계가 수업효과를 높이는데 가장 큰 기여를 하는 것으로 나타났다. 본 연구는 한국 문화의 특징이라 할 수 있는 교수-학생간의 인간적인 관계가 중시되는 교육환경하에서, 정보화 사회의 한 수업형태인 재택수업을 외국(특히 미국)의 방법을 그대로 따라 실시할 경우, 많은 부작용이 있을 수 있다는 것을 암시하며, 따라서 우리 교육문화에 맞는 재택수업 형태의 개발이 시급함을 제시한다고 하겠다.column density of HCaN is (1-3):n1014cm-2. Column density at distant position from MD5 is larger than that in the (:entral region. We have deduced that this hot-core has a mass of 10sR1 which i:s about an order of magnitude larger those obtained by previous studies.previous studies.업순서들의 상관관계를 고려하여 보다 개선된 해를 구하기 위한 연구가 요구된다. 또한, 준비작업비용을 발생시키는 작업장의 작업순서결정에 대해서도 연구를 행하여, 보완작업비용과 준비비용을 고려한 GMMAL 작업순서문

• Journal of Korea Technology Innovation Society
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• v.10 no.2
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• pp.255-283
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• 2007

As of April 2006, Korea had successfully invited twelve global IT R&D centers to help implement the u-IT839 strategy, but there have also been some worries about their research and collaboration performance in Korea. Although it is too early to judge the invitation outcome only after two years or less of their working, the Korean government is being advised to employ a more customized invitation strategy. In this paper, an analytic framework for the attraction of global R&D centers is developed based on the attractiveness-competitiveness matrix, and is applied empirically to the IT industry. Fourteen major IT technology categories and their sub-technological areas are classified into four strategic groups (priority group, wish group, consideration group, and hold group) along the framework via expert surveys and the Analytic Hierarchy Process (AHP) technique. This study is expected to help the government to implement the 'select and focus' strategy in inviting global R&D centers and creating synergy effects between them by providing basic data on global R&D partnership priorities. The implications and limitations of the research and future research directions are discussed at the final section.

• Journal of Korean Society of Rural Planning
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• v.21 no.2
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• pp.11-21
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• 2015

This study carried out evaluation of vulnerability in accessability and functionality using road network that was extracted from Intelligent Transportation System(ITS) and digital map. It was built in order to figure out accessability that locational data which include community center, public facilities, medical facilities and highway IC. The method for grasping functionality are Digital Elevation Model(DEM) and land slide hazard map provided by Korea Forest Service. The evaluation criteria for figure out accessability was set to related comparison of average time in urban area. Functionality value was calculated by the possibility of backing the vehicle possibility of snowfall and landslides. At last, this research computed weighting value through Analytic Hierarchy Process (AHP), calculated a vulnerable score. As the result, the accessability of rural village came out that would spend more time by 1.4 to 3.2 times in comparison with urban area. Even though, vulnerability of the road by a snowfall was estimated that more than 50% satisfies the first class, however, it show up that the road were still vulnerable due snowing because over the 14% of the road being evaluated the fifth class. The functionality has been satisfied most of the road, however, It was vulnerable around Lake Daechung and Piban-ryung, Yumti-jae, Suriti-jae where on the way Boeun. Also, the fifth class road are about 35 km away from the city hall on distance, take an hour to an hour and a half. The fourth class road are about 25 km away from the city hall on distance, take 25 min to an hour. The other class of the road take in 30 min from the city hall or aren't affected of weather and have been analyzed that a density of road is high. In A result that compare between distribution and a housing density came out different the southern and the eastern area, so this result could be suggested quantitative data for possibility of development.

• Journal of Korea Port Economic Association
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• v.29 no.2
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• pp.81-111
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• 2013

Along with a general growth in living standards there has been a corresponding increase in the demand for tourism. Cruise based tourism, in particular, has become one of the most dynamic and dramatic growth sectors in the tourism industry over the last 20 years, including in the Northeast Asian region. In line with the growth of passenger numbers, the number of cruise ships and their berth capacities has increased significantly since the late 1970s. Korea, as a peninsular nation, has also experienced a rapid growth in cruise passenger numbers. The national economy has greatly benefited from this as the industry acts as an income generator, creating new jobs and potential investments and in developing local tourism. Ports play an important role in the development of any national cruise industry, providing not only ship berths but supply and bunkering facilities and a gateway to local tourism opportunities. The selection of the optimal cruise port location is an important and complex problem because the decision makers have to consider a large number of criteria which have a significant effect on the economy, environment, human life, and society. This paper investigates those criteria that are significant in developing a successful cruise port by employing a questionnaire survey of major cruise port users - shipping companies and tourism companies. The ports, surveyed in this study are Busan, Incheon, Yeosu and Jeju. All have been identified as important potential cruise ports in the Korean Government's 'The 3rd Port Basic Plan (2011-2020)'.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.65-73
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• 2013

Even though the construction management (CM) system was introduced for the purpose of increasing the efficiency of the domestic construction industry along with the establishment of construction industry fundamental laws in December of 1996, now it is very difficult that the public institutions can judge their application of construction management methods due to the lack of clear guidelines or directions to select construction management methods when the public institutions were executing public construction projects. Therefore, this study was executed to prepare for the selection criteria which could be referred in reviewing the application of construction management ordering methods according to public institution's competences and project characteristics. It is expected that future domestic demand of construction management will be gradually increasing both in public and private construction sectors. However under the current construction management systems, it is judged to be difficult that the construction projects that apply the construction management methods will be activated with full-scale. Therefore, it could be said that active efforts in domestic sectors are required in order that the construction management systems of developed countries levels could be activated. Additionally in order to vitalize the construction management systems, it is expected that public institutions could use this study results as the review data for feasibility of construction projects for the consignment of construction management in selecting the ordering methods.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.87-98
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• 2010

Recently active policies of bicycle in many municipalities have been selected as the main policies. And a bike-related research is a difference in the direction of research according to socially active atmosphere on a bike using. Recent the research of approaches to enable bike use according to regional characteristics focused on Busan has been conducted is differentiated. But A different approach should be considered on the small town smaller than Metropolitan. Because of the relatively small city-size bicycle can be a variety of purposes. Therefore, this study to research awareness assessment methods of these local residents on the bike use inquires to the awareness of local residents in addition to the physical condition of facilities and policies target for the dong unit of small towns with 300,000~500,000 people. Awareness assessment methods of these local residents for the revitalization of bicycle using enable the local and regional conditions of bicycle using to compare very easily and the conception on the revitalization of bicycles using will make it possible considering the regional differences in the conditions of dong unit. Therefore, this process will be important references to be considered a differentiated analysis and approaches to enable bike use of the conditions of small towns on the bicycle using.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.967-977
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• 2018

The problems of lack of skilled worker and poor productivity at the construction site continue to be raised, and the introduction of construction automation as one of the solutions to this has been considered. The development of various types of equipment and systems has been carried out, especially for earthwork operations with multiple construction equipment. However, the level of commercialization of developed equipment or systems is very limited. Although the single-product type of earthwork equipment has been applied to the site, the integrated type of earthwork system is still in the field testing stage. Considering these constraints, the limited budget and research period, a strategy is needed to identify which technology areas and core technologies should be developed first. In this study, the technology areas and detailed core technologies that are essential for the development of earthwork systems at the level of commercialization are set and the priority of development is determined. In addition, the earthwork system that has been developed so far is analyzed and the detailed development direction is presented based on it. The findings can be used for a decision making to set the priority for core technologies that should be developed first in the limited budget and period.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.1-16
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• 2019

The purpose of this study is to Analyze the problems that container shipping companies exist through the commercialization of container shipping for Non-Arctic countries and the opportunity factors for the transport of the Arctic shipping to improve cooperation cross-border relation Arctic policy and the use of transport. In order to design a hierarchy analysis method study model, four high and 17 low factors were extracted by designing a hierarchy analysis method study model based on results by prior study and in-depth interview. The first of the higher factors is the internal strength of assessing the value of the Arctic, the will and capabilities of the shipping companies in creating new markets with the vision and goals of the shipping companies. Second, the internal constraints associated with the shipping companies advance to the NSR mean the negative factors for the entry into the NSR and the internal weaknesses that cause the shipping companies capacity limitations. Third, the economic benefits from the use of NSR are external factor for shipping companies in cooperation with the future economic value of the Arctic and with respect to Arctic sea and Arctic advance and development from Arctic coastal countries. Finally, external pre-emptive tasks means to respond to use NSR by external restrictions on transport to prepare the possibility of severe weather conditions, the customs policy change of coastal countries.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.27-42
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• 2020

Startup accelerators have emerged as new investment entities that help early startups, which are not easy to survive continuously due to lack of funds, commercialization capabilities, and experiences. As their positive performance on early startups and the ecosystem has been proven, the number of early startups which want to receive their investment is also increasing. However, they are vaguely preparing to attract accelerators' investment because they do not have any information on what factors the accelerators consider important. In addition, researches on startup accelerators are also at an early level, so there are no remarkable prior studies on factors that decide on investment. Therefore, this study aims to help startups prepare for investment attraction by looking at what factors are important for accelerators to invest, and to provide meaningful implications to academia. In the preceding study, we derived five upper level categories, 26 lower level accelerators' investment determinants through the qualitative meta-synthesis method, secondary data analysis, observation on US accelerators and in-depth interviews. In this study, we want to derive important implications by deriving priorities of the accelerators' investment determinants. Therefore, we used AHP that are evaluated as the suitable methodology for deriving importance and priority. The analysis results show that accelerators value market-related factors most. This means that startups that are subject to investment by accelerators are early-stage startups, and many companies have not fully developed their products or services. Therefore, market-related factors that can be evaluated objectively seem to be more important than products (or services) that are still ambiguous. Next, it was found that the factors related to the internal workforce of startups are more important. Since accelerators want to develop their businesses together with start-ups and team members through mentoring, ease of collaboration with them is very important, which seems to be important. The overall priority analysis results of the 26 investment determinants show that 'customer needs' and 'founders and team members' understanding of customers and markets' (0.62) are important and high priority factors. The results also show that startup accelerators consider the customer-centered perspective very important. And among the factors related to startups, the most prominent factor was the founder's openness and execution ability. Therefore, it can be confirmed that accelerators consider the ease of collaboration with these startups very important.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.29-45
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• 2015

Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.