• Journal of Korean Institute of Industrial Engineers
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• v.18 no.1
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• pp.177-184
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• 1992

The control policy algorithm is examined and compared in this study. This research investigates a two state partially observable Markov chain in which only deterioration can occur and for which the only actions possible are to replace or to live alone. The goal of this research is to compare the computational efficiencies of control policy algorithm. One is Sondik's algorithms and the other one is jump algorithm.

• Proceedings of the Korean Nuclear Society Conference
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• 2005.10a
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• pp.1001-1002
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• 2005

• Journal of Environmental Policy
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• v.2 no.1
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• pp.1-29
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• 2003

This paper examines the dynamics of environmental policy development in Korea by reviewing some of the ways on how the policy windows have been opened. There are a lot of theoretical arguments about the major factors influencing policy development or changes. Many scholars have believed that severe pollution accidents or salient environmental episodes might have been the main motivation of environmental policy development. This line of argument seems valid, especially with the water pollution control policy in Korea. Water pollution control programs had rapidly expanded along with the series of water pollution accidents in the tap water sources from the late 1980s to mid-1990s. However, regarding other major env. issues, various other factors have played more important roles in the development of the relevant policies. In case of air pollution control policy international sport events such as, 1986 Asian Games, 1988 Summer Olympics, and 2002 World Cup Competition, have contributed for the development. The municipal solid waste management policy partly owed its development to the introduction of local autonomy system in the mid-1990s. Even the foreign currency crisis occurring in December 1997 helped the policy paradigm shift from rigid supply-oriented to soft demand-oriented approaches. After closely looking at the dynamics of environmental policy development in Korea, this paper tries to identify the logical background of the observed outcomes.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.5
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• pp.558-568
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• 2021

The existing underwater vehicle controller design is applied by linearizing the nonlinear dynamics model to a specific motion section. Since the linear controller has unstable control performance in a transient state, various studies have been conducted to overcome this problem. Recently, there have been studies to improve the control performance in the transient state by using reinforcement learning. Reinforcement learning can be largely divided into value-based reinforcement learning and policy-based reinforcement learning. In this paper, we propose the roll controller of underwater vehicle based on Deep Deterministic Policy Gradient(DDPG) that learns the control policy and can show stable control performance in various situations and environments. The performance of the proposed DDPG based roll controller was verified through simulation and compared with the existing PID and DQN with Normalized Advantage Functions based roll controllers.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.482-487
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• 1991

The scheduling algorithm based on the hierarchical scheduling policy is presented for the Job Shop type FMC control, and the simulation results using this hierarchical scheduling policy are with the results which are based on the heuristic scheduling policy. The results show that the hierarchical ling policy is more efficient than the heuristic scheduling policy in either case that there exist machine failures in the FMC or not.

• Health Policy and Management
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• v.30 no.3
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• pp.265-269
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• 2020

Korea has failed to respond to the Middle East respiratory syndrome of 2015 and the early phase of coronavirus disease 2019 (COVID-19) of 2020. This is due to the structural problems of the Ministry of Health and Welfare that has been more increased manpower and budgets of the welfare part relative to those of the health part, and the ministers were appointed welfare experts, not health experts. In 21 (56.8%) of the Organization for Economic Cooperation and Development countries, the Ministry of Health operates independently, and these countries have been relatively well coping with COVID-19. The importance of the Korean health sector is increasing even further. Korea faces on the emerging infectious diseases, chronic infectious diseases such as tuberculosis that has been being a huge burden, and rapidly increasing non-communicable diseases, suicide and mental disorders, and some diseases due to fine dust and climate change. In addition, the rapid advancement of the aging society, the entry of an era of ultra-low fertility and low-economic growth, and the unification of the Korean peninsula are calling for a health policy reform. Therefore, the Ministry of Health should be established and systematically responsible for health policy, disease policy, medical policy, and medical security policy. Ministry of Health will be the control tower for K-Disease Control, K-Bio, and K-Health.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.291-295
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• 2022

The transition to wartime operational control during the term of office, which was the promise of the Moon Jae Inn administration, fell through. More than 70 years after it was transferred during the Korean War in 1950, the policy of converting wartime operational control has been repeatedly decided and reversed several times. This conversion of wartime operational control is a national policy directly related to our security, and it is most important to understand the determinants of the administration's conversion to wartime operational control. This paper selects two cases of adjustment of wartime operational control policy during the Lee Myung Bak administration in 2006 and 2010 during the Roh Moo Hyun administration as the subject of the study and expects to gain not only policy predictive power but also successful policy execution at the time of the two administration' policy changes.

• Journal of Korea Trade
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• v.23 no.7
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• pp.128-146
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• 2019

Purpose - The purpose of this paper is to investigate the relationship between internal control, economic policy uncertainty, and performance of cross-border merger and acquisition (M&A) based on the panel data of Chinese listed firms. The authors expected that internal control has a positive moderating effect on the performance of cross-border M&A and that it mainly occurs during periods when economic policies are relatively stable. In addition, the authors tried to find out the mechanism of internal control affecting cross-border M&A and the corporate performance. Design/methodology - The authors tested the hypotheses by a multivariate regression model based on the panel data of Chinese listed firms from 2009 to 2017. The dependent variable is the change value of business performance (DROA_1,2,3) and the explanatory variables are cross-border M&A (MA), China's uncertainty of economic policy (EPU), and internal control level (IC) respectively. Findings - The authors find that internal control has a positive moderating effect on the relationship between cross-border M&A and corporate performance. Further, the authors find that the moderating effect is more significant in state-owned enterprises and that it mainly occurs during periods when economic policies are relatively stable. Originality/value - This paper is the leading study that tries to analyze empirically the relationship between internal control, economic policy uncertainty, and performance of cross-border M&A. It provides a new avenue through which internal control might reasonably mitigate the risks of cross-border M&A and correspondingly improve the performance of cross-border M&A. It also confirms the moderating effect of internal control on the performance of cross-border M&A under the uncertainty of economic policy.

• Convergence Security Journal
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• v.18 no.3
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• pp.3-9
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• 2018

The Deep Deterministic Policy Gradient (DDPG) algorithm is an algorithm that learns by using artificial neural network s and reinforcement learning. Among the studies related to reinforcement learning, which has been recently studied, the D DPG algorithm has an advantage of preventing the cases where the wrong actions are accumulated and affecting the learn ing because it is learned by the off-policy. In this study, we experimented to control the bicycle autonomously by applyin g the DDPG algorithm. Simulation was carried out by setting various environments and it was shown that the method us ed in the experiment works stably on the simulation.

• Health Policy and Management
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• v.21 no.1
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• pp.61-76
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• 2011

Limited research has investigated the satisfaction of patients with cancer. This study was performed to explore patients' satisfaction and the related factors. The data were collected by telephone survey for the participants who were beneficiaries on the national financial aid program for cancer patients between January and October in 2009. Student's t-tests and analysis of variance were performed first to determine if the mean satisfaction score differed by the characteristics of study objects, followed by stepwise multiple regression analyses to examine the factors affecting satisfaction. When comparing the relating factors with patients' satisfaction according to the sociodemographic characteristics, the male, old-aged, higher educated, lower cancer stage, lung cancer group showed a significantly higher level of recognition for satisfaction. A public health center, better public relations, recognized more helpful, don't have expectation, put a person to expense, and don't feel pressured for medical cost groups were showed a higher level of recognition for satisfaction. The result of the multiple regression analysis, short waiting time, well known program policy, recognized helping of policy and had the financial burden had significantly influence on the satisfaction of patients with cancer.