• The Journal of the Korea Contents Association
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• v.10 no.7
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• pp.63-69
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• 2010

This research does focus on supporting all of formal, or informal learning at real time. From industry or education field, learning training is according to worker's current situation or business context. And according to worker's current situation, or business flow, 3D immersion knowledge visualization is effective in the individual ability and the learning progress For this, workers listen to compound knowledge coaching advices at real time. Therefore we developed the realistic 3D based knowledge retrieval method to identify and retrieve multidimensional relation easily.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.105-106
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• 2006

It is important to identify the exact target optical cable that a worker look for when he executes a cable construction work. Until now, An Optical cable identification work has been done by a manual pulling of an optical cable or by the method of using RF signals. But these methods not only consume much time and labor costs but also have a distance limit of the optical cable to identify. In this paper, we propose a method that uses the phase change signal of the optical interferometer to identify an optical cable. With the proposed method the field worker can have an efficient tool to prevent miscutting the optical cable and can also save operating costs.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.11a
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• pp.235-239
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• 2009

As robotic technologies have become more actively utilized to automate many construction tasks, they have been able to improve the construction productivity, quality, and worker's safety on site. A new advanced system, Robot-based Construction Automation (RCA) system, is currently being developed. To accomplish RCA system effectively, Design for automation (DFA) should be performed in automation system developing phase. The performance criteria of this system are a major cause of design changes. It is required exhaustive review for development new system. This research analyzed the design changes of Climbing Hydraulic Robot system and Construction Factory (CF), being currently developed in the field of applied RCA systems. And the design change matters according to performance criteria in each system's design-by-step were analyzed. The purpose of this research is developing the performance criteria in the developing phase of RCA system, and then will be served as basis for system design in similar projects.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1085-1092
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• 2022

Travel distance is a parameter mainly used in the objective function of Construction Site Layout Planning (CSLP) automation models. To obtain travel distance, common approaches, such as linear distance, shortest-distance algorithm, visibility graph, and access road path, concentrate only on identifying the shortest path. However, humans do not necessarily follow one shortest path but can choose a safer and more comfortable path according to their situation within a reasonable range. Thus, paths generated by these approaches may be different from the actual paths of the workers, which may cause a decrease in the reliability of the optimized construction site layout. To solve this problem, this paper adopts reinforcement learning (RL) inspired by various concepts of cognitive science and behavioral psychology to generate a realistic path that mimics the decision-making and behavioral processes of wayfinding of workers on the construction site. To do so, in this paper, the collection of human wayfinding tendencies and the characteristics of the walking environment of construction sites are investigated and the importance of taking these into account in simulating the actual path of workers is emphasized. Furthermore, a simulation developed by mapping the identified tendencies to the reward design shows that the RL agent behaves like a real construction worker. Based on the research findings, some opportunities and challenges were proposed. This study contributes to simulating the potential path of workers based on deep RL, which can be utilized to calculate the travel distance of CSLP automation models, contributing to providing more reliable solutions.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.91-98
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• 2019

Accidents of worker that occur in isolated places are difficult to rescue, unlike general construction accidents. There is a problem of communication limitation when an accident occurs in an isolated place. Also, it is difficult to search the accident place due to the absence of CCTV. In order to solve these problems, this paper proposes a device that combines IoT technology with a safety helmet, which must be worn in the workplace. The proposed device additionally designs and implements a real-time PPG(Photoplethysmography) sensor, body temperature sensor, accelerometer sensor and a camera sensor on the helmet. The proposed helmet system allows the user and the control center to monitor the state of the worker. In addition, when an abnormal biological signal or fall occurs to the worker, the image is transmitted to the control center. By using the proposed system, it is possible to check the status of the worker in real time, so that it has an advantage that it can cope with the accident quickly.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.533-538
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• 2024

The risk assessment under the Occupational Safety and Health Act was implemented in 2013, but since it is not mandatory, companies are operating it as a formality. Although legal obligations have been strengthened, such as the recent comprehensive revision of the Occupational Safety and Health Act and the enforcement of the Act on Punishment for Serious Accidents, the death rate has remained stagnant. Even if a risk assessment plan is properly established in order for employers to prevent industrial accidents through necessary measures, it is necessary to involve relevant workers so that they can understand and implement the contents of the risk assessment. In this regard, this study proposed applying efficient worker participation measures through on-site surveys to activate the participation of vulnerable workers in risk assessments. Key words : risk assessment, accident prevention, vulnerable class, worker participation

• Korean Journal of Occupational Health Nursing
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• v.25 no.2
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• pp.130-140
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• 2016

Purpose: The construction worker has diverse harmful factors such as noise, dust, and dealing with chemicals. Therefore this research aimed to examine the necessity of appointing a health manager in the construction industry by examining the cost-benefit analysis when the construction industry appoints a health manager. Methods: In order to calculate the healthcare staff employment cost and the benefits from their activities in 1,425 construction companies with the staff of 300 or more people during 2011, this study analyzed existing data and existing research data, as well as national data. Results: Total annual costs were 99,920,070,900 won and total annual benefits were 324,807,182,625 won. Benefits were found to be 224,887,111,725 won exceeding costs. Benefit/cost ratio resulting from appointing a health manager in the construction industry workplaces was 3.25 times. Conclusion: The findings of this research can be used as the base data to make rational decision to positively encourage the employment of healthcare staff in construction companies pursuant to relevant laws.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.465-472
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• 2022

Manual material handling is the one of the leading causes for musculoskeletal disorders (MSDs) and lower back discomfort. According to a study, construction formworkers suffer greater rates of muscular injuries and related illness due to manual activities. However, there is still a paucity of information on MSD, preventive posture issues, and corresponding solutions for construction aluminum formworkers. As a result, MSD and disregard of worker health and safety continue to exist at construction sites. Although preventive measures and strategies have been studied in previous research, we believe it is imperative to shed light on this problem through this study. This study aims to 1) implement a simple and cost-effective elevated bench to reduce MSDs, and 2) determine the rapid upper limbs assessment (RULA) and Ovako working posture analyzing system (OWAS) action catagory of workers in different postures to assess their MSD conditions and obtain an optimal position and posture using the Jack human modeling software and simulation tool. The study findings reveal a considerable reduction in MSD discomfort and which posture is acceptable in post-intervention instances.Thus results provide inexpensive and simple ergonomic interventions with favorable RULA and OWAS ratings that can be applied at construction sites. This study demonstrates workstation ergonomic intervention cases that can aid in understanding the urgency of applying existing research strategies into practice.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.375-381
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• 2022

Safety accidents are of concern during construction projects, even given the recent innovations in digital technologies. These projects remain focused on overcoming specific and limited applications on construction sites. For this reason, the development of an inclusive safety management system has become crucial. This study aims to build a Big Data platform to inform decisions on how to proactively eliminate worker hazards on construction sites. The platform consists of about 100,000 real records and a real-time monitored database featuring various safety indices, such as workers' altitudes, heart rates, and fatigability during construction, which are determined through various wearable devices. The data types are customized and integrated by a research team in accordance with the characteristics of a specific project using hypertext transfer protocol (HTTP). The results can be helpful as efficient tools to ensure successful safety management in complex construction situations. This study is expected to provide three significant contributions to the field, including real-time fatigability analysis and tracking of workers on-site; providing early GPS-based warnings to workers who might be accessing dangerous spaces or places; and monitoring the workers' health indices, based on details from 100,000 cases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.622-629
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• 2019

Recently, the government is taking new approaches to change the fact that the accident rate and accident death rate of the construction industry account for a high percentage of the whole industry. Especially, it is investing heavily in the development of construction technology that is fused with ICT technology in line with the current trend of the 4th Industrial Revolution. In order to cope with this situation, this paper proposed a concept to recognize and share the work situation information between the construction machine driver and the surrounding worker to enhance the safety in the place where construction machines are operated. In order to realize the part of the concept, we applied image processing technology using camera based on artificial intelligence to earth-moving work. Especially, we implemented an algorithm that can recognize the surrounding worker's circumstance and identify the risk situation through the experiment using the compaction equipment. and image processing algorithm based on YOLO-v3. This algorithm processes 15.06 frames per second in video and can recognize danger situation around construction machine with accuracy of 90.48%. We will contribute to the prevention of safety accidents at the construction site by utilizing this technology in the future.