• SUVANNABHUMI
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• v.8 no.1
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• pp.7-13
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• 2016

• SUVANNABHUMI
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• v.9 no.2
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• pp.167-173
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• 2017

• SUVANNABHUMI
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• v.16 no.1
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• pp.9-14
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• 2024

• Journal of the Economic Geographical Society of Korea
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• v.6 no.2
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• pp.355-375
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• 2003

Since the mid 1980s, the emergence of the Newly Industrialized Countries has been the most remarkable mutation in the foreign direct investment. This emergence is creating the new international spacial flows constituted by the developed country, the newly industrialized country and the developing country. According to the active foreign direct investment of the Asia Newly Industrialized Countries (ANICs) into East Asia from the middle of the 1980s, the intra-East Asia direct investment flow has a observable structure hierarchic composed of Japan, ANICs, ASEAN and China. In the inflow of intra-East Asia direct investment, Japan and ANICs flows from the extra-developed country and Japan, AESAN from ANICs, Japan, and China from the ANICs. In the outflow, Japan flows relatively into the ANICs and ASEAN, ANICs into ASEAN and China, ASEAN and China into the ANICs. In conclusion, the emergence of ANICs and theirs role intermediate in the East Asian economy causes the intra-East Asia direct investment flows to make a hierarchical structure.

• Transactions of the Korean hydrogen and new energy society
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• v.32 no.4
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• pp.271-276
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• 2021

Although the development of electric vehicles or electric commercial vehicles is underway in Korea, most companies are seeking to enter the global market because it is difficult to expand their business only in the domestic market. In addition, it is recognized that the country has difficulties in responding to regulations or related procedures when entering overseas markets, and due to such difficulties, it is not possible to gain opportunities to enter the market and gain the technical advantage. Therefore, it is necessary to support individual companies to overcome the difficulties of promoting and exporting products by establishing a pre-cycle support environment for technology development so that development parts can be installed in small electric commercial vehicles. Therefore, this study tried to understand the necessity and factors of small electric commercial vehicles for major ASEAN countries, and as a result, most of them raised the urgency and necessity of joint research.In addition, human resource development, government support, and technical support were suggested as the necessary factors for the study.

• Journal of Arbitration Studies
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• v.30 no.4
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• pp.95-119
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• 2020

Securing a stable supply chain is becoming a significant concern among countries as the global uncertainty rises with the expansion of global protectionism and the result of what the COVID-19 pandemic has brought around the world. This study has investigated dispute cases between customs authority and trade corporations based on the KOREA-ASEAN FTA and suggested the following implications and improvements: Firstly, the extent (varieties) of the proof document on cumulation and its form should be stipulated and provided through consultation between customs from each contracting party. Secondly, it ought to be prescribed as an obligation so that producers located in the third country can cooperate in providing documents for certification of origin. The duty to provide such documentary evidence should also be specified when making EX-IM contracts. Lastly, origin verification provisions regarding cases to which cumulation is applied have to be complemented so that the verification period's extension can be applied and approved. One can expect that the abovementioned responses on cumulation will enhance the availability of KOREA-ASEAN FTA.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.328-328
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• 2021

최근 전 지구적인 기후변화의 영향은 강우량의 집중을 야기하며 홍수피해의 규모를 증가시키는 영향을 끼친다. 특히, 아세안 국가들은 해수면 상승, 태풍 및 집중호우에 의한 침수피해 빈발로 최소 2,000만명이 영향을 받고 있다. 국내의 홍수예보모형을 수출하여 아세안 국가에 구축하고 있으나 통신 시설이 불안정하여 중앙제어 방식의 기존의 홍수예보시스템만으로는 긴급상황에 대한 대처가 부족할 수 있다. 따라서 본 연구에서는 하나의 관측소에서 수위, 강우의 관측과 홍수예측, 경보까지 한번에 가능한 관측소를 개발하기 위해 관측된 수위와 강우자료를 활용하여 인공지능기반의 하천수위예측 모형을 개발하였다. 목표 리드타임은 30분에서 6시간으로 설정하였으며 모형은 Tensorflow로 구축하였다. 시계열 자료의 예측에 적합한 LSTM 기법을 적용하였다. 연구의 대상지역은 건설연의 계측시험유역인 설마천유역으로 하였으며 학습에는 2009년부터 2020년까지의 10분 단위 수위 및 강우량자료를 활용하였다. 연구결과 설마천 유역은 규모가 작고 도달시간이 짧아 1시간 후 예측까지는 높은 정확도를 나타냈으나 3시간 이상의 예측결과는 다소 낮게 평가되었다. 다만, 비상상황에서 통신이 두절된 상황에서 위급하게 대피를 위해 홍수경보를 발령하는데는 활용이 가능 할 것으로 판단된다.

• Defense and Technology
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• no.10 s.140
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• pp.64-75
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• 1990

1990년 3월 말레이지아의 쿠알라룸프르에서 열렸던 아시아지역 방산전시회 "DSA'90"은 대단한 성황을 이루었다. 주요 전시품목만 해도 2백30종 이상이었고, 28개국으로 부터 4백개 이상의 회사들이 참여하였으며, 고위급 공식 대표단들이 다녀가는등 참관자들의 수준 또한 높았다. 아세안(ASEAN) 국가지역에서의 항공우주 및 방위분야의 성장은 큰폭으로 계속되어서 향후 5년간 매년 약 1조4천억원 정도의 군수품 판매가 이곳에서 이루어질 것으로 예측하는 사람들이 많다. 그러나 이 지역에서의 직접판매는 어려울 것으로 보인다. 전시회에 출품했던 많은 회사들은 각국에서 공동생산을 같이 추진할만한 산업기반을 가진 회사들을 찾고 있다.

• 건강소식
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• v.10 no.7 s.92
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• pp.11-15
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• 1986

이미 없어진 것으로 알려졌던 열대기생충병들이 발견되어 국민보건 생활에 영향을 끼치고 있으며, 특히 금년아세안게임이나 88올림픽게임기간에 세계 각국으로부터 많은 사람들이 우리나라를 방문할 것으로 생각되며 이에 따라 그 사람들이 가지고 들어온 열대병들을 염려해야 한다.

• Journal of Korea Water Resources Association
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• v.54 no.12
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• pp.1285-1294
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• 2021

In recent years, as rainfall is concentrated and rainfall intensity increases worldwide due to climate change, the scale of flood damage is increasing. Rainfall of a previously unobserved magnitude falls, and the rainy season lasts for a long time on record. In particular, these damages are concentrated in ASEAN countries, and at least 20 million people among ASEAN countries are affected by frequent flooding due to recent sea level rise, typhoons and torrential rain. Korea supports the domestic flood warning system to ASEAN countries through various ODA projects, but the communication network is unstable, so there is a limit to the central control method alone. Therefore, in this study, an artificial intelligence-based flood prediction model was developed to develop an observation station that can observe water level and rainfall, and even predict and warn floods at once at one observation station. Training, validation and testing were carried out for 0.5, 1, 2, 3, and 6 hours of lead time using the rainfall and water level observation data in 10-minute units from 2009 to 2020 at Junjukbi-bridge station of Seolma stream. LSTM was applied to artificial intelligence algorithm. As a result of the study, it showed excellent results in model fit and error for all lead time. In the case of a short arrival time due to a small watershed and a large watershed slope such as Seolma stream, a lead time of 1 hour will show very good prediction results. In addition, it is expected that a longer lead time is possible depending on the size and slope of the watershed.