• Journal of Information Technology Services
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• v.15 no.4
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• pp.85-95
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• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.73-96
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• 2004

This research began by recognizing the development of telecommunication skill in a short period of time as one achievement of launching the national research and development (R&D) project for the diversification of telephone service and for the solution of telephone holdup rate. Under this concern, this research is focusing on searching the influential elements on successful outcome by analyzing the case of Time Division Exchange R&D Project carried out by Korea. Those variables for analyzing the case is limited to 7 definite variables, which are "willingness of policy making organization", "participation of manufacturers and buyers", "support from research and development group", "economy of operating methods and selection of machinery", "rate of technology transfer", "support from Fixer", and "quality management". Summarizing the result of analysis, in order to bring about technological innovation, knowledge creation activity leading to upward efficiency through competition and cooperation making a harmony should be done in one mechanism. I.e., launching an innovative policy should be done in an arena of competition and cooperation, where stability of implementing system is achieved, the entity of "Fixer" is an adequate operator, and competition and cooperation is efficiently managed, among where agreement on purpose and professional opinions are reflected.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.289-296
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• 2015

Recently, the Korean government has been making efforts to achieve 'creative economy' based on science and technology. As part of these efforts, it has been promoted specific policies for innovation and performance enhancement of national R&D projects. They contains commercialization of research outcomes, technology transfer, technology based startup and support small and medium-sized businesses. The railroad transportation industry is a representative in the field of SOC and has own characteristics different from other industry areas. Especially, industry and market of railroad transportation are directly related to planning and implementation of government SOC policies. So in order to promoting commercialization of railroad transportation projects, it is very important to ensure consistency between government policies and R&D projects. In this paper, we investigate barriers of successful commercialization with typical researchers in the area of railroad transportation, and suggest problems and improvements of policy-based commercialization by giving specific examples.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.6_2
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• pp.861-872
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• 2021

An efficient cost management is important for the domestic social overhead capital(SOC) based on a long lifecycle after 30 years since completion. Maintenance in South Korea have had the restrictions of consistency and suitability of decision-making by the establishment of a budget plan based on the company estimate and repair and reinforcement methods determined by the inspection and diagnosis engineers' subjective determination for each facility. To resolve this issue, the Korea Institute of Civil Engineering and Building Technology is currently in development of a methodology to propose an optimum maintenance method according to the damage of components by artificial intelligence. This study has deduced the primary factors by analyzing information generated during bridge maintenance and management as a prior step for the development of technologies, and conducted a preliminary analysis to select the optimum artificial intelligence technology.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.234-235
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• 2019

Smart Maritime Autonomous Surface Ship(MASS) is aiming to provide eco-friendly smart maritime navigation service based on safety, reliability and efficiency for maritime safety and marine environment protection. In the future, it is expected to bring about a radical change across the marine industry such as marine, maritime, port, logistics, ship-building and so forth. Therefore, in this paper, policy priorities related to the introduction of MASS were identified, and response strategies for each industry were set up, and a policy plan for establishing a smart maritime logistics system covering shipping, port and shipbuilding fields was proposed.

• Journal of Distribution Science
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• v.20 no.2
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• pp.11-18
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• 2022

Purpose: The purpose of this paper is to investigate the influence of brand equity on customer purchase decision (CPD) of products for retailers distribution (RB) in Ho Chi Minh city, Vietnam. There are five elements in the brand equity model such as brand awareness, brand association, brand loyalty, perceived quality, and pricing policy. Research design, data and methodology: Qualitative methodology was used for exploring the research model and variables. The survey was conducted to collect data from 251 respondents who bought products at RB in Ho Chi Minh city, which is based on a Likert scale. The collected data were analyzed with the reliability of the scale, exploratory factor analysis, and research hypothesis testing by SPSS 22. Results: The results obtained revealed that brand awareness, brand association, perceived quality, and pricing policy have a significant impact on CPD for RB. Furthermore, the results showed that perceived quality is the most significant component in influencing CPD at retailers. Conclusions: From the research results, some management implications that RB should focus on are perceived quality, choice of pricing policies and strategies, brand building and development to attract more customers as well as enhance its image to improve customers' purchasing decisions of products at retail distributors chain.

• Convergence Security Journal
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• v.19 no.4
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• pp.23-34
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• 2019

This study utilized big data, one of the new technologies of the Fourth Industrial Revolution as a policy direction study related to the military security of the Army. By utilizing Text mining and analyzing military security trends in domestic and foreign papers, it will be able to set policy directions and reduce trial and error. In this study, we found differences in domestic and international studies on military sucurity. At first, Domestic research has shown that in the course of the fourth industrial revolution, there is a strong interest in technological security, such as IT technology in security and cyber security in North Korea. On the other hand, Foreign research confirmed that policies are being studied in such a way that military sucurity is needed at the level of cooperation between countries and that it can contribute to world peace. Various academic policy studies have been underway in terms of determining world peace and security levels, not just security levels. It contrasted in our immediate confrontation with North Korea for decades but suggest complementary measures that cannot be overlooked from a grand perspective. Conclusionally, the direction of academic research in domestic and foreign should be done in macro perspective under national network cooperation, not just technology sucurity research, recognizing that military security is a policy product that should be studied in a security system between countries.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.7
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• pp.219-228
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• 2016

This research aimed at investigating policy change process of after school contracting out and suggesting future alternative. Also, this research conducted a literature search for the research data related to policy and related regulations. As the result of investigation, the Ministry of Education established management plan for after school, however there have been changes in policy, e.g. contracting out was executed from 2004 to 2008 upon autonomy of unit school through school steering committee deliberation(consultation), while standardized procedure was conducted, which was suggested in 'After school operation guideline', produced in cooperation between the Ministry of Education and municipal ministry of education from 2008 to 2015, while since 2016, contract law should be applied when after school contracting out is adopted. Policy change since 2016 is based on the legal necessity that contract law should be followed as the contract size of after school contracting out has become larger along with necessity of clarity of after school contracting out. Nevertheless, there's a worry that quality of after school education could be degraded due to lowest price bidding. The government suggested an alternative to prevent excessive price competition by paying a regular rate of basic price as personnel expenses, however this research suggested a plan to enact an ordinance in regard of specialty of after school educational activities and cities and provinces as the fundamental solution plan.

• The Journal of Society for e-Business Studies
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• v.21 no.2
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• pp.135-150
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• 2016

As the privacy issues are all around the world, the intrusion into personal privacy is concerning. For that reason, government established the article from the personal information protection law that has to notice the privacy policy to users on the online site. and the matter of privacy invasion make concern toward behavior of online user. Although there are rules to carrying legal binding force in accordance with, because it is full of text and uncomfortable to read so that its readability is low. In the same context, each other has different state of understanding with the policy for personal information has been playing an important role. In this approach, companies and government do not think this over deeply and do just for what their practical use is. That is the reason why this research start, and the result expecting for real. As the result in the participant who cognize the privacy policy display pattern, they have certain type to do. In this article, the certain behavior doing is remarkable with the privacy policy. According to privacy concern, privacy fundamentalist reveals such a compromise reaction to protect their information when they know what information which the privacy manager of service provider collect. This study arrives at the result depending on the gap of privacy group that the group of checking the policy contents, especially the group which has high privacy concern, they move forward to protect their emotion and put a constructive plan into protective action. Otherwise, the group of unchecking the policy contents and following their own thinking of privacy policy are not deemed statistically significant. Therefore, this is considered to support more various implications than the previous issues and alternatives about privacy policy pattern and user protection behavior of privacy.

• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.