• Informatization Policy
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• v.30 no.1
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• pp.89-108
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• 2023

Science, technology and innovation (STI) has expanded the activity of actors from the traditional physical territory to the cyberspace. Data-driven platform services and markets advance new discussions on cross-border cooperation and cyber security, as well as discourse on sovereignty in cyberspace. These changes are also affecting the hegemony competition between the US and China. In particular, competition for aid to developing countries that are located along major resource transportation routes, such as natural gas and deep sea resources, is fierce. ASEAN is not only a geopolitical military and security point where the US and China powers collide, but its population of 600 million has great potential for the development of the digital economy due to its data resources. In this regard, this article aims to connect the discourse of liberalism and authoritarianism with data regulation and cybersecurity in international development cooperation, and derive implications for ASEAN integration through this. This study has significance as a convergence study that links international political issues related to big data in terms of global governance.

• International Area Studies Review
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• v.21 no.1
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• pp.247-279
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• 2017

Korean firms are faced with the necessity of creating new markets in 21st century. Korean economy has witnessed the accelerated growth rate of trade volume during the period from the latter part of 20th century to the early part of 21st century. In recent times, Korean export volumes have been stagnated. For the second take off, Korea has to create a new ASEAN BOP market. In order to penetrate into the ASEAN BOP Market, it is necessary for exporting firms to have a partnership with ASEAN countries via ODA. In particular, Public-Private Partnership(PPP) might be seen as an effective tool to access the BOP market in ASEAN region. The international development cooperation based on PPP will establish the humanitarian values as well as economic values through the combined effort of government and business enterprises. This study suggests four kinds of business model to have a mutual cooperation between Korean firms and ASEAN markets.

• Electronics and Telecommunications Trends
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• v.27 no.4
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• pp.63-72
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• 2012

캄보디아는 한국의 정보통신 분야의 성공 사례를 자국의 발전모델로 삼아 정보통신 분야를 미래 성장동력으로 빈곤 극복과 경제성장을 추진하고자 한다. 그러나 세계 최빈국 중 하나이며, 사회간접자본과 정보통신 인프라가 매우 낙후된 캄보디아가 선진국의 원조나 외국 기업의 직접투자 없이 정보통신 분야의 발전과 이를 통한 사회경제개발을 단기간에 달성하기는 어려울 것으로 보인다. 우리나라의 입장에서 캄보디아는 협소한 시장과 낮은 전략적 가치로 인해 정보통신 기업의 시장 진출이 활발하지 않고 KOICA와 KOEXIM의 정보통신 분야에 대한 개발협력 사업의 비중도 매우 낮은 실정이다. 그러나 최근 들어 양국 간 관계가 급속히 강화되고 있고 아세안 시장 진출의 교두보로서 캄보디아의 중요성이 증대하고 있다. 따라서 본고에서는 우리 정보통신 기업의 캄보디아 시장 진출을 지원하기 위한 사전 연구로서 정보통신 시장 현황을 파악하고 각 정부기관의 역할 등을 정리하였다. 그리고 우리 기업의 현지 시장 진출 시 고려할 요인들을 소개하고 정책 방향을 제시하였다.

• The Southeast Asian review
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• v.28 no.1
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• pp.145-171
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• 2018

Laos' 2017 is a year of political "stagnation" and economic "change". In the political arena, despite the achievements such as the improvement of the corruption perception index (CPI), it is necessary to watch the progress of the reform. Diplomatically, the influence of China is expected to increase further. In particular, since November 2017, Xi Jinping's visit to Laos is expected to strengthen the framework of cooperation between the economic corridor and Lanchang-Mekong Cooperation Meeting. And Laos continued to have friendly relations with other neighboring countries, the ASEAN countries. However, the issue of the Laos-Cambodian border issue following the general election in Cambodia may recur. The economic sector maintained a high growth rate due to capital inflows from the construction of large infrastructures and the favorable tourism industry, but structural problems such as deficits in the fiscal and current account should be resolved. Korea and Laos discussed the comprehensive cooperation between the two countries through the Mekong Senior Officials' Meeting in March 2017 and the Ministerial Meeting of the Korean-Lao Foreign Minister in September 2017. Laos is Korea's eighth ODA aid (grant), and ODA will become an important diplomatic cooperation channel between the two countries in the future. In the economic relationship, the trade sector is on a declining trend, but investment and human exchanges are steadily increasing.

• Journal of Korea Water Resources Association
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• v.56 no.12
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• pp.981-992
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• 2023

Due to recent global climate change, the scale of flood damage is increasing as rainfall is concentrated and its intensity increases. Rain on a scale that has not been observed in the past may fall, and long-term rainy seasons that have not been recorded may occur. These damages are also concentrated in ASEAN countries, and many people in ASEAN countries are affected, along with frequent occurrences of flooding due to typhoons and torrential rains. In particular, the Bandung region which is located in the Upper Chitarum River basin in Indonesia has topographical characteristics in the form of a basin, making it very vulnerable to flooding. Accordingly, through the Official Development Assistance (ODA), a flood forecasting and warning system was established for the Upper Citarium River basin in 2017 and is currently in operation. Nevertheless, the Upper Citarium River basin is still exposed to the risk of human and property damage in the event of a flood, so efforts to reduce damage through fast and accurate flood forecasting are continuously needed. Therefore, in this study an artificial intelligence-based river flood water level forecasting model for Dayeu Kolot as a target station was developed by using 10-minute hydrological data from 4 rainfall stations and 1 water level station. Using 10-minute hydrological observation data from 6 stations from January 2017 to January 2021, learning, verification, and testing were performed for lead time such as 0.5, 1, 2, 3, 4, 5 and 6 hour and LSTM was applied as an artificial intelligence algorithm. As a result of the study, good results were shown in model fit and error for all lead times, and as a result of reviewing the prediction accuracy according to the learning dataset conditions, it is expected to be used to build an efficient artificial intelligence-based model as it secures prediction accuracy similar to that of using all observation stations even when there are few reference stations.