• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.99-107
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• 2024

This study analyzed how computer-based digital technology affects convergence performing arts according to the trend of the times of domestic performing arts. Based on the analyzed contents, the purpose of the study was to propose an appropriate use plan for performing arts and technology and a plan for future development of convergence performing arts. Looking at the analysis results according to the purpose of the study, as a first step, the use of video technology developed in the performing arts stage using video technology evolved into holograms, media art, and 3D techniques. In the second step, technology and art were fused using artificial intelligence and robots. Artificial intelligence composed music, choreographed dance, and wrote a play script. In addition, robots performed and played with humans on stage. Third, virtual space was also used in performing arts. It was possible to direct spaces in various places using virtual spaces rather than performance halls and stage spaces. In this way, performing arts using digital technology will become more diverse and professional, and things that are possible in imagination that cross boundaries will be developed into reality. This study proposes a convergence that appropriately utilizes various technologies of digital and computer while maintaining the area of creation that humans can do and the expressiveness and artistry they express. In preparation for these changes in the times, future convergence performing artists should be able to acquire a combination of artistry and technology of stage technology experts who can use digital technology, professional actors who can express artistry along with AI, and professionals who can create art by manipulating AI.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.498-509
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• 2023

Purpose: This paper proposes a method detecting the falling of a maintenance worker in the underground utility tunnel, by applying deep learning techniques using CCTV video, and evaluates the applicability of the proposed method to the worker monitoring of the utility tunnel. Method: Each rule was designed to detect the falling of a maintenance worker by using the inference results from pre-trained YOLOv5 and OpenPose models, respectively. The rules were then integrally applied to detect worker falls within the utility tunnel. Result: Although the worker presence and falling were detected by the proposed model, the inference results were dependent on both the distance between the worker and CCTV and the falling direction of the worker. Additionally, the falling detection system using YOLOv5 shows superior performance, due to its lower dependence on distance and fall direction, compared to the OpenPose-based. Consequently, results from the fall detection using the integrated dual deep learning model were dependent on the YOLOv5 detection performance. Conclusion: The proposed hybrid model shows detecting an abnormal worker in the utility tunnel but the improvement of the model was meaningless compared to the single model based YOLOv5 due to severe differences in detection performance between each deep learning model

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.30-39
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• 2023

Large dams, which are critical infrastructures for disaster prevention, are exposed to various risks such as aging, floods, and earthquakes. Better dam safety inspection and diagnosis using digital transformation technologies are needed. Traditional visual inspection methods by human inspectors have several limitations, including many inaccessible areas, danger of working at heights, and know-how based subjective inspections. In this study, drone photogrammetry was performed on two large dams to evaluate the applicability of digital data-based dam safety inspection and propose a data management methodology for continuous use. High-quality 3D digital models with GSD (ground sampling distance) within 2.5 cm/pixel were generated by flat double grid missions and manual photography methods, despite reservoir water surface and electromagnetic interferences, and severe altitude differences ranging from 42 m to 99.9 m of dam heights. Geometry profiles of the as-built conditions were easily extracted from the generated 3D mesh models, orthomosaic images, and digital surface models. The effectiveness of monitoring dam deformation by photogrammetry was confirmed. Cracks and deterioration of dam concrete structures, such as spillways and intake towers, were detected and visualized efficiently using the digital 3D models. This can be used for safe inspection of inaccessible areas and avoiding risky tasks at heights. Furthermore, a methodology for mapping the inspection result onto the 3D digital model and structuring a relational database for managing deterioration information history was proposed. As a result of measuring the labor and time required for safety inspection at the SYG Dam spillway, the drone photogrammetry method was found to have a 48% productivity improvement effect compared to the conventional manpower visual inspection method. The drone photogrammetry-based dam safety inspection is considered very effective in improving work productivity and data reliability.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1245-1254
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• 2020

In this study, the limitations of the existing water level detection algorithm using CCTV images were recognized and the water level detection algorithm was improved by applying the Region growing technique. It applied three techniques (Horizontal projection profile, Texture analysis, and Optical flow) to estimate the water area, and the results were analyzed in a comprehensive analysis to select the initial water area. The water level was then continuously detected by the Region growing technique, referring to the initial water area. As a result, it was possible to confirm that the exact level of water was detected without being affected by environmental factors compared to the existing level detection algorithm, which had frequent mis-detection phenomena depending on the surrounding environmental factors. In addition, the water level was detected in the video showing flooded roads in urban areas, not in the video of the river. These results are believed to be able to supplement the difficulty of monitoring at all times with limited manpower by automatically detecting the level of water through numerous CCTV footage installed throughout the country, and to contribute to laying the foundation for preventing disasters caused by torrential rains and typhoons in advance.

• Korean Journal of Agricultural and Forest Meteorology
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• v.25 no.4
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• pp.245-257
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• 2023

The representative crop in the Republic of Korea, rice, is cultivated over extensive areas every year, which resulting in reduced resistance to pests and diseases. One of the major rice diseases, rice blast disease, can lead to a significant decrease in yields when it occurs on a large scale, necessitating early detection and effective control of rice blast disease. Drone-based crop monitoring techniques are valuable for detecting abnormal growth, but frequent image capture for potential rice blast disease occurrences can consume significant labor and resources. The purpose of this study is to early detect rice blast disease using remote sensing data, such as drone and satellite images, along with weather data. Satellite images was helpful in identifying rice cultivation fields. Effective detection of paddy fields was achieved by utilizing vegetation and water indices. Subsequently, air temperature, relative humidity, and number of rainy days were used to calculate the risk of rice blast disease occurrence. An increase in the risk of disease occurrence implies a higher likelihood of disease development, and drone measurements perform at this time. Spectral reflectance changes in the red and near-infrared wavelength regions were observed at the locations where rice blast disease occurred. Clusters with low vegetation index values were observed at locations where rice blast disease occurred, and the time series data for drone images allowed for tracking the spread of the disease from these points. Finally, drone images captured before harvesting was used to generate spatial information on the incidence of rice blast disease in each field.

• Journal of the Korean Society of Radiology
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• v.15 no.5
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• pp.667-673
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• 2021

As we enter the era of the 4th industrial revolution, it is judged that the scope of work of radiologists will be further expanded according to the innovation and advancement of radiation medical technology development. In this study, the current status of medical equipment and radiology technicians was identified, and basic data were provided for the plan for nurturing talents in the field of radiation medical technology in the era of the 4th industrial revolution, as well as career and employment counseling. Data from the second quarter of 2020 and the second quarter of 2021 were analyzed using health and medical big data. As a result of comparing the status of medical equipment by type in 2021 compared to 2020, C-Arm X-ray examination equipment increased by 5.83% to 6,638 units, followed by MRI examination equipment 1,811 units 5.29%, and angiography equipment 725 units 5.22% , general X-ray examination equipment 21,557 units increased 3.99%, CT examination equipment 2,136 units 3.03%, and breast examination equipment 3,425 units increased 3.00%. As a result of a comparison of the total number of radiologists in 2021 compared to 2020, the number was 29,038, an increase of 2.73%. As a result of comparing the status of radiographers by region, the increase was highest in the Gyeonggi region with 5.96%, followed by the Gangwon region with a 5.66% increase and the Chungnam region with a 3.81% increase. In a situation where the number of medical equipment and radiologist manpower is increasing, universities are developing specialized knowledge and practical competency through subject development related to the understanding and utilization of customized artificial intelligence and big data that can be applied in the medical radiation technology field in the era of the 4th industrial revolution. It is necessary to nurture qualified radiographers, and at the level of the association, it is thought that active policies are needed to create new jobs and improve employment.

• Journal of the Korea Computer Graphics Society
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• v.22 no.3
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• pp.63-73
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• 2016

Animation contents are gradually growing every year, but production period and budget for making one animation contents is insufficient as of now. In particular, in case of animation series that are broadcasted on television, many episodes should be made within a short period of production term. Hence, production pipeline of full three-dimensional animation is frequently chosen in this case. However, another problem emerges as the full three-dimensional animation also requires a lot of time for making high-quality background and for rendering. Composed animation is a production pipeline that attempts to solve such problem. It is a pipeline of producing animation by composing computer graphic (CG) character and real background. It requires relatively small number of human resources compared to the full three-dimensional animation pipeline. Hence, it has an advantage in that natural-looking image can be produced under efficient structure and time for rendering can also be reduced. This paper proposes an efficient process of producing composed animation by using miniature set and three-dimensional computer graphic.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.130-137
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• 2009

TV broadcast of election returns is an index to measure a public responsibility, scientific analysis and production power in each broadcasting station. This is the reason why each broadcasting station is spending a great amount of money, mobilizing many people and using facilities. TV election returns broadcast has been advanced for decades, particularly in its production, system and presentation. And, among those, broadcast graphic and inset graphic, which are representing election-related information, have became the important components in TV broadcast of election returns because of the advancement of production technology, a variety of presentation forms, and the visual effects. In this research, I analyze the part of image composition in inset graphic of TV election returns broadcast. As a result, in making insert graphic, each broadcasting station is analyzed to be producing the accurate and clear delivery of information on the stability and reliability of a visualized form, first and foremost. It requires that we research the methodology for the accurate and reliable delivery of information, as well as various image productions with a result of the progress in production technology.

• Journal of Korean Society of societal Security
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• v.2 no.2
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• pp.85-90
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• 2009

In recent days, climatic change cause abnormal weather all over the world and we have a great loss of life and property every year. In Korea, we suffer from landslide problem because large regions of Korea Peninsula are composed of mountain. In order to detect rapidly and to take follow-up measures of disaster, the remote sensing is being used actively as conventional field survey has many restrictions in accessibility because of more time and man power requirement. In additions interferometric SAR is one of the techniques that have our attention because it can provide many kinds of accurate surface information without restriction of atmospheric and ground conditions by using L-band. In this study, we aimed to monitor the displacement of mountain area in Kangwondo and this results will be used for detecting landslide. Also we build the web system for detecting and analyzing the landslide.

• Journal of Digital Contents Society
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• v.4 no.1
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• pp.45-55
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• 2003

Due to the rapid development of information & communication technology under high performance computing environments, the multimedia production techniques have been applied to a variety of multimedia fields such as general banner advertisements including texts, images and animations, and the internet-broadcasting dealing with videos and sounds. This paper presents an authoring tool with main functions to setup events objects (image, animation, sound, button, area) and to setup action functions, so that non-experts can easily produce multimedia including images, sounds, animations and so on. The authoring tool implemented in Java can be applied to the CD-ROM title production as well as the web-site construction. We can expect that when this authoring tool is used for in multimedia production, both cost and time will be reduced due to its convenience and powerful functions. We have a future plan to integrate intelligent multimedia presentation techniques with the presented tool for the autonomous multimedia authoring works.