• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.3
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• pp.169-175
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• 2022

Korea's construction industry has a shortage and aging of construction manpower, low productivity compared to other industries, and a high rate of industrial accidents. The Ministry of Land, Infrastructure and Transport is preparing for the 4th industrial revolution and is expanding investment in construction automation and innovative growth engines to improve productivity in the construction industry. In order for new technologies to be utilized in the road construction field, the accuracy of the technologies and the applicability of each type of work must be evaluated. In this study, the accuracy of the mobile mapping system was tried to verify based on the relevant work regulations, and to suggest the applicability of the mobile mapping system to high-speed driving tracks through data acquisition and analysis on road construction sites. The accuracy of the equipment used in the study was verified in accordance with the relevant work regulations, and the possibility of applying the mobile mapping system used for the study to road construction surveying was presented with a maximum error of less than 10cm in the horizontal and vertical directions. In addition, the possibility of utilizing the road construction survey using the mobile mapping system was presented through comparison with the existing method for data acquisition time for construction surveying, production of construction status survey results, and calculation of heatmap and earthworks. In the future, the use of construction status surveying of the mobile mapping system will greatly improve the efficiency of construction work.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.183-192
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• 2021

This study was purposed to explore the learning culture through the related literature and research review in Jewish Havruta which has interaction, critical reflection, and the driving force creating a better world. The prior researches on Havruta mainly tend to as ways to increase learners' interest in learning and studies as curriculum or teaching methods such as creativity, understanding, and problem-solving skills. However, Havruta is not just method to study subjects, but rather a process of developing thinking through dialogue and discussion. Therefore, Havruta's essential meaning as a lifelong learning should be explored. Studies showed that Jews embody the thinking process from interpreting, analyzing, setting up logic, questioning, discussing, and debating Talmud with others anytime, anywhere, and anyone throughout their learning culture. It develops basic skills for life, forms an integrated personality in relationships with others, and continuously conducts lifelong learning to shape one's own beings. Therefore, lifelong learning culture would be sharing information that one has in the process of discussion through dialogue between two or more people, and supporting and encouraging the other's failure or fear rather than attacking them. The embodiment of thinking process in which people teach and learn eachother, accept the difference, and expand thought would be significant foundation to create lifelong learning culture.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.705-712
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• 2021

The purpose of this study is to propose the features of autonomous DRT UX design based on level 5 autonomous vehicle applicable in 2027. As the scope of the study, the system focused on the interaction between the elderly and the in/outside of the vehicle, and the level 5 autonomous vehicle was the subject of the study. As of 2021, the targets for application were set from 60s to 90s. This study is different from previous studies in that it is a study on the features of autonomous DRT UX design that derives practical insights through direct communication with the elderly. As a research method, autonomous vehicle and DRT were theoretically considered through literature research, and based on this, cases of autonomous vehicle and DRT were analyzed. As a case study, generalization was conducted through interviews with the elderly, test-drive of autonomous vehicle, video production, survey, and VR test-drive of autonomous vehicle for the elderly. Ten features of autonomous DRT UX design were derived through focus group interview(FGI), and the derived features were classified into reservation, get on, input, driving, emergency, and get off. Through this study, I hope that it will contribute to improving mobility of the elderly and further accelerate the practical use of autonomous DRT.

• Journal of IKEEE
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• v.26 no.3
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• pp.483-487
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• 2022

In this paper, we design a self-powered Arduino system for solar energy harvesting and explain its operation. To perform the operation, the Arduino system senses the amount of solar energy that changes every moment and adjusts the ratio of the active mode and sleep mode operation time according to a given solar light intensity. If the intensity of sunlight is strong enough, the Arduino system can be continuously driven in active mode and receive sufficient power from sunlight. If not, the system can run in sleep mode to minimize power consumption. As a result, it can be seen that energy consumption can be minimized by reducing power consumption by up to 81.7% when using sleep mode compared to continuously driving active mode. Also, when the light intensity is at an intermediate level, the ratio between the active mode and the sleep mode is appropriately adjusted according to the light intensity to operate. The method of self-control of the operating time ratio of active mode and sleep mode, proposed in this paper, is thought to be helpful in energy-efficient operation of the self-powered systems for wearables and bio-health applications.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.345-352
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• 2022

Recent LiDAR(Light Detection And Ranging) sensor is used for scanning object around in real-time. This sensor can detect movement of the object and how it has changed. As the production cost of the sensors has been decreased, LiDAR begins to be used for various industries such as facility guard, smart city and self-driving car. However, LiDAR has a large input data size due to its real-time scanning process. So another way for processing a large amount of data are needed in LiDAR system because it can cause a bottleneck. This paper proposes edge computing to compress massive point cloud for processing quickly. Since laser's reflection range of LiDAR sensor is limited, multiple LiDAR should be used to scan a large area. In this reason multiple LiDAR sensor's data should be processed at once to detect or recognize object in real-time. Edge computer compress point cloud efficiently to accelerate data processing and decompress every data in the main cloud in real-time. In this way user can control LiDAR sensor in the main system without any bottleneck. The system we suggest solves the bottleneck which was problem on the cloud based method by applying edge computing service.

• Journal of the Society of Disaster Information
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• v.19 no.1
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• pp.173-183
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• 2023

Purpose: In order to reduce industrial accidents caused by forklift trucks, it is actually necessary to analyze the causes of accidents. This study aims to present disaster prevention measures by analyzing accident cases by forklift accident type. Method: For the analysis of industrial accidents, including serious industrial accidents caused by forklifts from 2021 to 2022, accident statistics from the Korea Occupational Safety and Health Agency were used to analyze accidents in four types. Result: In the last two years, the total number of victims, including deaths and other serious injuries, was 2,559, which was 1,396 in 2021 and 1,163 in 2022. Disaster prevention measures were presented for industrial accidents by size and occurrence type of equipment that cause serious industrial accidents in which more than 1,000 people are injured annually. Conclusion: It is necessary to expand the number of workers subject to the forklift financial support project to less than 100. It is necessary to amend the proviso on boarding restrictions in Article 86, Paragraph 7 of the ｢Regulations on Industrial Safety and Health Standards｣. It is mandatory to install front and rear cameras. It is necessary to install driving-linked safety belts. It is necessary to install line beams obligatory. It is necessary to expand the subject of forklift special safety and health education to workplaces that have more than one forklift truck, and it is necessary to redesignate the training hours to 16 hours every year.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.84-95
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• 2022

The landscaping of Amore-Pacific's new building has received various awards since its construction. This study attempted to identify the mechanisms of planning, design, and construction of this project through the ground theory. The results of the study are summarized as follows. The client's place attachment of the sites, which was the company's parent, was the driving force for an international design competiton in which architecture and landscaping were integrated. After that, in the detailed design stage for the actual implementation of the contest-winning plan, competent local designers and contractors were selected, and a consultative body was operated to engage in various opinions and promote rational decision-making. As for consultative body's operation method, simulation, physical model production, and detailed drawings were created after sharing opinions, and landscape design supervision played a major role. Establishing consistency in design and construction through integrated planning and landscape design supervision is required to cultivate craftsmanship and foster landscape coordinators in today's industrialized practice. The accumulation of related follow-up studies and supplementation of the system is anticipated.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.2
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• pp.230-237
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• 2023

Due to the COVID-19 pandemic and climate change, shortages of essential commodities and resources continue to occur globally. To address this problem, trade volume demand suddenly increased, driving up the freight rate of container ships sharply. The size of container vessels progressively increased from 1,500 TEU (twenty-foot equivalent unit) in the 1960s to 24,400 TEU in 2021. As the improvement of container loading capacity is closely related to the enlargement of the lashing bridge structure, it is necessary to design a structure effective for good container securing and safe under the various external loads that occur during voyage. Major classification societies have recently issued structural-analysis-based guidelines to evaluate the structural safety of lashing bridges, but their acceptance criteria and evaluation methods are different, causing confusion among engineers during design. In this study, the strength change characteristics are summarized by variations in the main variables (modeling range, opening consideration, mesh size) likely to affect the results. Based on this result, the authors propose a reasonable structural-analysis-based evaluation that is expected to serve as a reference in the next revision of classification standards.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.201-209
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• 2022

In order for the military to review the introduction of virtual reality technology into various education and training systems and fully utilize it, it is important to reflect the characteristics of the technology and education system and to accurately identify and selectively apply the characteristics of commercialization. In this study, the evaluation criteria were selected through the Analitic Hierarchy Process (AHP) method for factors to be considered when commercializing a virtual reality-based education and training system, and the priorities of the projects were determined. Based on previous studies, an initial AHP model was constructed and the relative importance of six factors, including reality, was analyzed as the level 1 evaluation criteria. Next, for Level 2, each evaluation criterion was evaluated to confirm the importance of each of the 11 tasks in the six evaluation criteria, and priorities were selected for each task. As a result of the analysis, level 1 showed that reality and ripple had higher importance than other factors. As a result of evaluating the final relative importance, the priority was shown in the order of ① flight training, ② disaster training, ③ shooting Training, and ④ driving a vehicle. Based on the relative priorities determined in Levels 1 and 2 of the model presented in this study, the importance of each project necessary for final decision-making of the research priorities for the defense virtual reality project was presented. It is expected that this study can be used as a reference material for prioritizing the commercialization of education and training systems in the defense sector.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.105-122
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• 2022

According to the statistics about the fatal crashes that have occurred on the expressways for the last 5 years, those who died on the shoulders of the road has been as 3 times high as the others who died on the expressways. It suggests that the crashes on the shoulders of the road should be fatal, and that it would be important to prevent the traffic crashes by cracking down on the vehicles intruding the shoulders of the road. Therefore, this study proposed a method to detect a vehicle that violates the shoulder lane by using the Faster R-CNN. The vehicle was detected based on the Faster R-CNN, and an additional reading module was configured to determine whether there was a shoulder violation. For experiments and evaluations, GTAV, a simulation game that can reproduce situations similar to the real world, was used. 1,800 images of training data and 800 evaluation data were processed and generated, and the performance according to the change of the threshold value was measured in ZFNet and VGG16. As a result, the detection rate of ZFNet was 99.2% based on Threshold 0.8 and VGG16 93.9% based on Threshold 0.7, and the average detection speed for each model was 0.0468 seconds for ZFNet and 0.16 seconds for VGG16, so the detection rate of ZFNet was about 7% higher. The speed was also confirmed to be about 3.4 times faster. These results show that even in a relatively uncomplicated network, it is possible to detect a vehicle that violates the shoulder lane at a high speed without pre-processing the input image. It suggests that this algorithm can be used to detect violations of designated lanes if sufficient training datasets based on actual video data are obtained.