• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제11권10호
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• pp.427-436
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• 2022

산업통상자원부에서 제공하는 KOTRA 무역 데이터는 해당 품목과 해당 국가에 대하여 GDP, 관세율, 비즈니스 점수, 과/차년도 수출금액 등을 제공한다. 그러나 무역 수출품목은 수없이 많을뿐더러 그에 따른 대량의 데이터를 매년 수작업 기반 분석을 통해 유의미한 결과를 이끌어내는 것은 상당히 큰 시간과 비용을 요구한다. 따라서 이번 연구에선 대량의 데이터를 학습하여 단기간에 저비용으로 결과 예측이 가능한 다층 퍼셉트론 모델을 구현하고 성능을 평가하였다. 먼저 딥러닝 기반 무역 수출 가격 예측 모델을 일반적 다변량 회귀 모델과 비교하였을 때, 예측 오류와 학습 시간 측면에서 통계적으로 우수한 성능을 보였다. 수출 가격 데이터는 시계열 속성이 있을 것으로 예상하는 바, 은닉 노드들이 모두 연결된 다층 퍼셉트론과 순환 신경망을 이용하여 수출 가격 데이터를 예측하였다. 그 결과 새로운 데이터에 대해 수출 가격 예측을 위한 일반화 능력은 순환 신경망이 우수한 성능을 보였으나, 다층 퍼셉트론이 무역 수출 가격 예측에서 더 뛰어난 성능을 보였다. 추후 장기간 데이터를 확보한다면, 순환 신경망 혹은 트랜스포머 기반 딥러닝 모델을 이용하여 더 뛰어난 수출 가격 예측이 가능할 것으로 사료된다.

• 통상정보연구
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• 제5권1호
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• pp.181-202
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• 2003

This study investigates the present status and development of e-marketplace which is the most actively used in the e-trade stages from market research, searching for business partners, negotiations to contract. It also shows the present status and development of e-marketplace as an "e-trading company" designated by government, which gives prospect of profitable model of e-marketplace. Especially focused on EC21 - the best e-marketplace of Korea, this study views present status and development of EC21 and trading companies applied for EC21, government designated e-trading company, to receive electronic trading support services. In addition, we hope that the findings of this study will be a helpful material to government for making policy and framing supporting project toward leading organizations of e-trade such as Ministry of Commerce, Industry and Energy, e-trade promotion committee of Korea International Trade Association and small-ta-medium companies interested in e-trade, to activate e-trade.

• 한국건설순환자원학회지
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• 제17권3호
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• pp.12-17
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• 2022

• 한국주조공학회지
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• 제42권3호
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• pp.163-174
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• 2022

• 자원리싸이클링
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• 제29권1호
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• pp.62-69
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• 2020

산업단지 내 입주기업들의 제조공정에서는 미세먼지 생성 원인물질인 질산화물(NOx), 황산화물(SOx), 휘발성 유기화합물(VOCs) 등이 다양한 형태로 배출되고 있다. 본 연구에서는 효과적인 산업단지 미세먼지 저감을 위해 산재해 있는 공공데이터를 활용하여 산업단지별 특성을 분석하고 미세먼지 감축 기술과 매칭하여 미세먼지를 감축할 수 있는 최적화 감축 방안을 제시하였다. 데이터를 기반으로 한 산업단지 별 맞춤형 기술 및 설비 적용은 미세먼지 전구물질을 공정에서 사전에 감축함으로써 산업단지 미세먼지 뿐만 아니라 제조업 미세먼지 감축을 위한 효과적인 대안이 될 것이다.

• 무역학회지
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• 제46권6호
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• pp.239-255
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• 2021

To review the theoretical background of regulatory approaches to cross-border transfer of personal data, this paper divides major digital trade participating countries into four types according to the OECD - non-regulatory, post-intervention, pre-supervision, and national control. It then analyzes the US, Japan, the EU, and China respectively that belong to each type. South Korea, which is currently about to pass the amendment by the National Assembly, has identified that it is in the middle of post-intervention and pre-supervision, and needs to evolve into pre-supervision norms like the EU while it has to participate more actively in the process of establishing international digital trade rules. Korea first needs to sign digital trade agreements and promote mutual certification projects more actively from the standpoint of a medium-sized open country with growing digital companies and digitally-open consumers. Second, the government should fully consider the interests of not only companies but also various trade stakeholders including domestic consumers, when drafting and implementing trade policies. To this end, 'a single window approach' is needed not only at the Ministry of Trade, Industry, and Energy, but also at the level of the entire government which require an integrated form of digital trade policy governance.

• 융복합기술연구소 논문집
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• 제5권1호
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• pp.33-36
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• 2015

In recent years, developed and developing country such as U.S., Japan, and China push forward to enhance their manufacturing industry through national policies such as advanced manufacturing(U.S.), Industrie 4.0 (Germany), and Made in China 2025. Also, in Korea, Ministry of Trade, Industry, and Energy(MOTIE) claimed Manufacturing3.0 for encouraging domestic manufacturing industry. Manufacturing industry plays an important role in encouraging economy and employment. In this paper, we survey, analyze and summarize the current national policy for enhancing manufacturing industry.

• 산업경영시스템학회지
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• 제38권3호
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• pp.29-38
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• 2015

In this paper, scale efficiencies and relative efficiencies of R&D projects in Industrial Technology Program, sponsored by Ministry of Trade, Industry and Energy, Korea, are calculated and compared. For the process, various DEA (Data Envelopment Analysis) models are adopted as major techniques. For DEA, two stage input oriented models are utilized for calculating the efficiencies. Next, the calculated efficiencies are grouped according to their subprograms (Industrial Material, IT Fusion, Nano Fusion, Energy Resources, and Resources Technology) and recipient types (Public Enterprise, Large Enterprise, Medium Enterprise, Small Enterprise, Lab., Univ., and etc.) respectively. Then various subprograms and recipient types are compared in terms of scale efficiencies (CCR models) and relative efficiencies (BCC models). In addition, the correlation between the 1st stage relative efficiencies and the 2nd stage relative efficiencies is calculated, from which the causal relationship between them can be inferred. Statistical analysis shows that the amount of input, in general, should increase in order to be scale efficient (CCR models) regardless of the subprograms and recipient types, that the 1st and 2nd stage relative efficiencies are different in terms of the programs and recipient types (BCC models), and that there is no significant correlation between the 1st stage relative efficiencies and the 2nd stage relative efficiencies. However, the results should be used only as reference because the goal each and every subprogram has is different and the situation each and every recipient type faces is different. In addition, the causal link between the 1st stage relative efficiencies and the 2nd relative efficiencies is not considered, which, in turn, is the limitation of this paper.

• 무역상무연구
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• 제69권
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• pp.633-654
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• 2016

Recently open data has been spread rapidly in the world include Korea. Accordingly in international trade field open data and using it became a key point to get competitiveness. In this study, the author make an attempt to suggest the way for quality improvement of international trade information by looking for some problems with crating and using the information. Thus, the problems of using information are can be point out as follows. Firstly the range of open data is narrow. Secondly the management of the open data is not conducted properly. Thirdly the suppliers of the open data didn't prepare some investigation system for their data's usability for user. Expansion of the organizations who open data is one way to solve quantitative problem. There are four suggestions to solve qualitative problems. Firstly the guidelines should be established and operated in each organizations respectively. Secondly the criterion of expenses for open data should be arranged among the concerned parties. Thirdly the ability of the manpower and organization who charged in the quality improvement of information should be reinforced both quantitatively and qualitatively. Lastly the system for data usability for user should be equipped in early stages. Finally the author emphasize the establishment of total management system for using open data in international trade is not needed only the efforts of the specific parties but also all parties led by Ministry of Industry, Trade and Energy in order to carry out above suggestions successfully.

• 방사성폐기물학회지
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• 제20권2호
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• pp.255-258
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• 2022

Three government bodies, that is, the Ministry of Science and ICT (MSIT), Ministry of Trade, Industry, and Energy (MOTIE), and Nuclear Safety and Security (NSSC), jointly established the Institute for Korea Spent Nuclear Fuel (iKSNF) in December 2020 to secure the management technologies for spent nuclear fuel (SNF). The objective of iKSNF is to successfully conduct the long-term research and development program of the 「Development of Core Technologies to Ensure Safety of Spent Nuclear Fuel Storage and Disposal System」. Our program, known as the first multi-ministry program in the nuclear field of Korea, mainly focuses on developing core technologies required for the long-term management of SNF, including those for safe storage and deep geological disposal of SNF. The program comprises three subprograms and seven key projects covering the storage, disposal, and regulatory sectors of SNF management. Our program will last from 2021 through 2029, with a budget of approximately four billion USD sponsored by MSIT, MOTIE, and NSSC.