• 전자통신동향분석
• /
• 제37권2호
• /
• pp.53-61
• /
• 2022

MicroLEDs have various advantages and application areas and are in the spotlight as next-generation displays. Nevertheless, the commercialization of microLEDs is slow because of high cost as well as difficulties in the transfer, bonding, and bad pixel repairing process. In this study, we review the development trends of transfer, bonding, and defective pixel repair technologies, which are critical for microLED commercialization, focusing on materials that determine these technologies. In addition, we focus on the simultaneous transfer bonding technology developed by the Electronics and Telecommunications Research Institute, which has been attracting enormous research attention recently.

• 반도체디스플레이기술학회지
• /
• 제21권3호
• /
• pp.110-113
• /
• 2022

Non-playable game character plays an important role in improving the concentration of the game and the interest of the user, and recently implementation of NPC with reinforcement learning has been in the spotlight. In this paper, we estimate an AI target tracking method via reinforcement learning, and implement an AI-based tracking agency of specific target object with avoiding traps through Unity ML-Agents Toolkit. The implementation is built in Unity game engine, and simulations are conducted through a number of experiments. The experimental results show that outstanding performance of the tracking target with avoiding traps is shown with good enough results.

• Asia Marketing Journal
• /
• 제21권4호
• /
• pp.1-24
• /
• 2020

The current research brings the spotlight onto customer Gapjil toward service employees. In an attempt to understand what brings Gapjil, the present article investigates the intertwined effects of perceived economic mobility (PEM), self-other referent priming (SORP), and temporal focus on Gapjil. Study 1 shows that PEM increases Gapjil among self-referent primed people, but not among other-referent primed people. Study 2 examining the role of temporal focus (present vs. future) reveals that the effect found in study 1 is replicated in the present focus, but the effect is reversed in the future focus. We explain this dynamic pattern of the 3-way interaction effect with a relative gratification and a motivation to attune the self to the perceived norm of the high class. We also discuss how to create a social atmosphere to lessen Gapjil in public and corporate communication strategies.

• 로봇학회논문지
• /
• 제17권3호
• /
• pp.314-321
• /
• 2022

Depth information used in SLAM and visual odometry is essential in robotics. Depth information often obtained from sensors or learned by networks. While learning-based methods have gained popularity, they are mostly limited to RGB images. However, the limitation of RGB images occurs in visually derailed environments. Thermal cameras are in the spotlight as a way to solve these problems. Unlike RGB images, thermal images reliably perceive the environment regardless of the illumination variance but show lacking contrast and texture. This low contrast in the thermal image prohibits an algorithm from effectively learning the underlying scene details. To tackle these challenges, we propose multi-channel remapping for contrast. Our method allows a learning-based depth prediction model to have an accurate depth prediction even in low light conditions. We validate the feasibility and show that our multi-channel remapping method outperforms the existing methods both visually and quantitatively over our dataset.

• 로봇학회논문지
• /
• 제18권1호
• /
• pp.88-92
• /
• 2023

Lithium-ion batteries are actively used in various industrial sites such as field robots, drones, and electric vehicles due to their high energy efficiency, light weight, long life span, and low self-discharge rate. When using a lithium-ion battery in a field, it is important to accurately estimate the SoC (State of Charge) of batteries to prevent damage. In recent years, SoC estimation using data-based artificial neural networks has been in the spotlight, but it has been difficult to deploy in the embedded board environment at the actual site because the computation is heavy and complex. To solve this problem, neural network lightening technologies such as network pruning have recently attracted attention. When pruning a neural network, the performance varies depending on which layer and how much pruning is performed. In this paper, we introduce an optimized pruning technique by improving the existing pruning method, and perform a comparative experiment to analyze the results.

• International journal of advanced smart convergence
• /
• 제11권4호
• /
• pp.149-154
• /
• 2022

With the development of information and communication technology, information literacy and utilization are emerging as basic skills necessary for modern people. Accordingly, information education is becoming a basic literacy education for a nation. Unplugged computing is in the spotlight as a major educational method of information education. The main advantage of unplugged computing is that it is easy to convey basic theories or principles of computer science to students through play activities without the help of special information devices such as computers and tablet PCs. However, studies on student evaluation on unplugged computing have been very insufficient. In this study, students' evaluation standards are developed to maximize the educational effect of unplugged computing. The evaluation standards consist of four areas: participation, interest, satisfaction, and understanding of concepts. The results of this study can be used as a basic study for student evaluation of unplugged computing in the future.

• 한국건축시공학회:학술대회논문집
• /
• 한국건축시공학회 2021년도 가을 학술논문 발표대회
• /
• pp.14-15
• /
• 2021

Even though the Al. form system, which was developed to replace the Euro-form, has been used as the slab lower formwork for almost all concrete structures based on the light weight and high conversion rate, the low-noise Drop method has been developed and used in order to overcome the limitations of the Al. Form system such as noise pollution and safety accidents caused by free fall during the demolding. However, as the low-noise drop method is still insufficient, Safety Full Drop Al. Form method is expected to be in the spotlight in the construction market based on its excellent advantages compared to the developed methods. In addition, we plan to conduct research to further contribute to securing the quality of the overall structure through continuous improvement and supplementation by introducing an automation system to the very construction method.

• 국제학술발표논문집
• /
• The 9th International Conference on Construction Engineering and Project Management
• /
• pp.103-110
• /
• 2022

In the era of the 4th Industrial Revolution, smart technology being considered to improve productivity breakthroughs is in the spotlight as a means to replace traditional construction technology in the construction industry. However, various problems are occurring in construction sites using smart technology and causing negative impacts on construction projects. Therefore, the objective of this study is to identify risk factors that occur when smart technologies are used in construction projects. To achieve this purpose, this study investigated the difficulties at construction projects using smart technology, and risk factors were derived based on site surveys and literature. The risk factors were measured by experts, and then a total of 19 risk factors was derived by exploratory factor analysis. As a result, risks were classified as 5 factors, the institutional factor is the most difficult response, and the government needs anticipative system improvement and a long-term plan. The research findings provide practical implications for construction experts trying to apply smart technology in construction sites and construction policy-makers to revitalize smart technology.

• 센서학회지
• /
• 제32권6호
• /
• pp.462-469
• /
• 2023

Electric vehicles (EVs) have recently been in the spotlight and have been rapidly developed to reduce the carbon emission with respect to the transport sector. Most EVs currently employ lithium-ion batteries (LIBs) as power sources because they have a higher energy density and a lower self-discharge than other batteries. However, the LIBs cannot respond to high power demands when the state of health (SOH) falls below 80%. Therefore, the SOH of the LIBs must be accurately measured or estimated. To date, many methods have been studied and proposed for measuring or estimating the SOH. In this paper, representative methods among them are reclassified and introduced.

• 전자통신동향분석
• /
• 제38권6호
• /
• pp.22-30
• /
• 2023

Recently, artificial intelligence has been in the spotlight across various fields. Artificial intelligence uses massive amounts of data to train machine learning models and performs various tasks using the trained models. For model training, large, high-quality data sets are essential, and database systems have provided such data. Driven by advances in artificial intelligence, attempts are being made to improve various components of database systems using artificial intelligence. Replacing traditional complex algorithm-based database components with their artificial-intelligence-based counterparts can lead to substantial savings of resources and computation time, thereby improving the system performance and efficiency. We analyze trends in the application of artificial intelligence to database systems.