• 반도체디스플레이기술학회지
• /
• 제21권4호
• /
• pp.144-150
• /
• 2022

In this paper, we analyze the current research technology trends through the literature reviews of technical outlines of electric vehicles and hydrogen fuel cell vehicles, domestic and overseas policy trends, etc. After analyzing the literature, we found out while the re-use and recycling of waste batteries and the in-wheel motor systems are essential areas for the development of electric vehicles and hydrogen fuel cell vehicles, the related research is not quite sufficient, so the direction for further research is proposed at the conclusion.

• 한국산업융합학회 논문집
• /
• 제25권4_2호
• /
• pp.645-653
• /
• 2022

Recently, deep reinforcement learning has been applied to a variety of industries, such as games, robotics, autonomous vehicles, and data cooling systems. An algorithm called reinforcement learning allows for automated asset allocation without the requirement for ongoing monitoring. It is free to choose its own policies. The purpose of this paper is to carry out an empirical analysis of the performance of asset allocation strategies. Among the strategies considered were the conventional Mean- Variance Optimization (MVO) and the Proximal Policy Optimization (PPO). According to the findings, the PPO outperformed both its benchmark index and the MVO. This paper demonstrates how dynamic asset allocation can benefit from the development of a reinforcement learning algorithm.

• 한국산업융합학회 논문집
• /
• 제26권4_2호
• /
• pp.687-696
• /
• 2023

In recent construction sites, digital maps obtained through drone photogrammetry have garnered increasing attention as indispensable tools for effective construction site management. the strategic placement of Ground Control Points (GCPs) is crucial in drone photogrammetry. Nevertheless, the manual labor and time-intensive nature of GCP surveying pose significant challenges. The purpose of this study is to design the concept of automated GCPs survey technology for enhancing drone photogrammetry efficiency in construction sites. As a result, the productivity of the automated method was analyzed as 118,894.7㎡/hr. It is over 25% productivity improvement compared to traditional methods. In future studies, economic analysis of automated methods should be studied.

• 한국산업융합학회 논문집
• /
• 제26권6_2호
• /
• pp.1145-1153
• /
• 2023

This study presents the development of pointcloud data integration technology in construction sites via drone photogrammetry and MMS LiDAR. The integration of pointcloud data from drones and MMS technology can provide precise and accurate 3D digital maps of construction sites, which can benefit the development of smart construction and BIM. The advantages of using both drones and MMS technology for pointcloud data acquisition in construction sites are discussed, along with the limitations and challenges of using drone photogrammetry and MMS LiDAR for pointcloud data integration. The results of this study can contribute to the advancement of pointcloud data integration technology in construction sites and improve the efficiency and accuracy of construction projects.

• 한국산업융합학회 논문집
• /
• 제26권6_3호
• /
• pp.1233-1241
• /
• 2023

This paper investigates the efficient application of drone LiDAR technology for acquiring precise point cloud data in construction and civil engineering. A structured workflow encompassing data acquisition, processing, and accuracy verification is introduced. Practical testing on a construction site affirms that drone LiDAR surveying yields accurate and reliable data across various applications. With a focus on accuracy and verification, the results contribute to the progression of surveying methodologies in construction and civil engineering. The findings provide valuable insights into the dynamic technological landscape of these fields, establishing a foundation for more effective and precise surveying techniques. This study underscores the transformative potential of drone LiDAR technology in shaping the future of construction and civil engineering survey practices.

• 한국게임학회 논문지
• /
• 제6권2호
• /
• pp.33-44
• /
• 2006

본 논문은 디지털 기술의 발전에 따른 문화콘텐츠 유통의 발전, 특히 게임산업의 유통체계를 살펴보고 있다. 컨버젼스 기술의 발전에 따라, 문화콘텐츠 유통에 있어서 핵심적인 가치의 중심은 플랫폼에서 콘텐츠로 옮겨가고 있는데, 이와 관련하여 특히 게임산업의 유통구조에서는 3가지 유형(오프라인, 온라인, 모바일 게임)이 나타난다고 알려지고 있다. 본 논문에서는 심층인터뷰 등을 통한 사례조사를 통해 앞으로 통합적인 모델로 발전할 것으로 검증하고 있다. 결론적으로 본 논문은 이러한 변화에 맞추어 앞으로 문화콘텐츠산업의 장기적인 발전을 위해 유통구조의 개선, 기업과 퍼블리셔 등 관계자들의 갈등해소, 국제화 등을 위한 다각적 정책지원이 더욱 필요함을 제안하고 있다.

• 한국IT서비스학회지
• /
• 제10권2호
• /
• pp.75-94
• /
• 2011

The industrial ecosystem around the Internet services has been evolving since the Internet was first introduced. The Net Neutrality issue best represents the process of the evolution and presents an inevitable challenge that the industry should overcome. This paper deals with this structural change with the Two-Sided Market framework and provides a System Dynamics(SD) model to evaluate the economic implications of the net neutrality policy. In particular, our approach analyzes the policy impacts when two competing platforms (network providers) play a role of the platform in a typical two-sided market, which connects Content Providers(CPs) with users. Previous studies show that the indirect network externality between these two markets makes the entire system tip to one platform. When the multi-homing in the CP market is allowed as in our model, however, their argument may lose its validity. To examine the system behavior, conducted here is SD simulations of our model. The simulation results show that co-existence of the competing platforms persists with the network effects over a certain threshold. The net neutrality policy seems to lower the threshold based on our experimental outcomes.

• 융합보안논문지
• /
• 제5권2호
• /
• pp.9-17
• /
• 2005

최근 다변화된 침입에 대하여 대처하기가 어렵고, 시스템 환경에 적합한 시스템 개발과 대규모 네트워크에 대한 효율적인 침입 탐지 및 대응 구조를 갖고 있지 않는 등 단일 보안 관리의 문제점이 대두되고 있다. 그래서 대규모화 되어가는 네트워크에서 다양한 침입을 차단하기 위해서는 분산화된 보안제어시스템들의 필요성이 요구되고 있고, 다양한 보안시스템의 통합관리와 각 시스템들의 침입탐지 및 대응에 대한 모델이 필요하게 되었다. 본 논문에서는 광범위한 네트워크 자원을 관리하는 PBNM 구조를 개선하고 보안시스템의 침입탐지 및 대응에 적합한 새로운 모델을 제시하였다. 또한 제시된 모델을 통합보안관리시스템에 적용시킴으로써 효과적인 침입탐지 및 대응을 위한 보안 정책 모델를 기반으로 통합보안관리시스템을 설계하였다.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권10호
• /
• pp.249-257
• /
• 2021

Industrial agglomeration policy is a strategy that is expected to accelerate economic growth to transform an impoverished region into a prosperous one. However, industrial agglomeration also has the potential to exacerbate development inequality due to the concentration of economic development activities in certain areas. Therefore, this study aims to investigate what strategies are best to minimize the adverse effects of industrial agglomeration. This study uses econometric analysis with panel data covering 38 districts/cities in East Java during the 2011-2019 period. The results showed that the combination of industrial agglomeration policies coupled with accelerated sectoral growth, hard infrastructure development, and soft infrastructure provided the best policy outcome, improving regional inequality and accelerating economic growth in East Java. Based on the analysis, we find that East Java's economic growth characteristics are convergent but relatively long. Therefore, the East Java economic development policy during 2010-2019 should be reviewed due to the relatively long convergence period. Furthermore, this study also found that industrial agglomeration slows down the convergence and economic growth of East Java. In the future, the deployment of Industrial Development Centers (PPI) outside the existing eight districts/cities is needed to accelerate the spread of economic activity in East Java.

• 한국산업융합학회 논문집
• /
• 제24권6_2호
• /
• pp.861-872
• /
• 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.