• 한국전문물리치료학회지
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• 제12권3호
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• pp.1-10
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• 2005

The purpose of this study was to examine associations between subjective symptoms of musculoskeletal diseases and the degree of job stress among shipyard workers. The study population was 7,078 employees of the D shipbuilding company. Survey data was obtained from 1,727 employees using a proportional sample according to age and a self-administered questionnaire. The associations were examined with ${\chi}^2$ and logistic regression. The main results were as follows: First, the prevalence of musculoskeletal disease in any one part is 59.5% by NIOSH standard. Second, subjects who had worked in the shipyard for over five years had a prevalence of musculoskeletal disease 1.8 times higher than subjects who had worked in the shipyard for less than five years (p<.01). Finally, those who had less support from co-worker's had a prevalence of musculoskeletal disease 1.3 times higher than subjects who had more support from co-worker's (p<.05). Throughout the results, shipyard workers had higher occurrences of musculoskeletal diseases than other manufacturing workers and the risk of musculoskeletal disorder tended to increase with higher job stress. In this research, the plan to reduce musculoskeletal diseases involved making a program and policy which would be able to lower job stress socio-psychologically. This research will prove useful by using basic preventive materials to improve the musculoskeletal health of labores who work in shipyards and similar places.

• 한국정보통신학회논문지
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• 제25권3호
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• pp.433-439
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• 2021

본 논문에서는 사물인터넷을 이용하여 조선소의 작업장 단위로 센서네트워크를 구축하는 방안을 제시한다. 여기서는 조선소에서 가장 흔한 용접 작업장에서 조선블록을 통신매체로 활용하여 작업자의 위치, 용접 진행률, 작업 시간 등의 정보를 LoRa와 전력선통신을 이용하여 서버로 전송한다. 이와 같은 데이터통신을 위하여 유도성 커플러와 복합통신용 모뎀을 제작하여 와이어피더와 핀지그에 설치하여 센서네트워크를 구축하였다. 시험 결과, 제시된 시스템은 약 98% 이상의 데이터 전송 성공률과 작업자 위치 인식 성공률을 가지는 것으로 나타났다. 또한, 현장에서 발생된 작업 데이터는 실시간 기록과 디스플레이가 가능함을 공정관리시스템 플랫폼을 통하여 확인하였다. 제시된 시스템은 미래형 스마트 조선소 구축을 통한 우리나라 조선산업의 경쟁력 강화를 위한 단초가 될 것으로 사료된다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.135-142
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• 2021

Estimating the locations of workers in a shipyard is beneficial for a variety of applications such as selecting potential forwarders for transferring data in IoT services and quickly rescuing workers in the event of industrial disasters or accidents. In this work, we propose a human movement stream processing system for estimating worker locations in shipyards based on Apache Spark and TensorFlow serving. First, we use Apache Spark to process location data streams. Then, we design a worker location prediction model to estimate the locations of workers. TensorFlow serving manages and executes the worker location prediction model. When there are requirements from clients, Apache Spark extracts input data from the processed data for the prediction model and then sends it to TensorFlow serving for estimating workers' locations. The worker movement data is needed to evaluate the proposed system but there are no available worker movement traces in shipyards. Therefore, we also develop a mobility model for generating the workers' movements in shipyards. Based on synthetic data, the proposed system is evaluated. It obtains a high performance and could be used for a variety of tasksin shipyards.

• 대한조선학회논문집
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• 제60권1호
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• pp.48-56
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• 2023

This paper implements many-to-many communication between users and develops a multi-functional smart helmet for worker protection and environmental safety in the shipbuilding and shipping industry. First, the communication situation is recorded in the field to perform signal processing for noise that interferes with communication. Then, it deals with the contents of developing smart helmets, data acquisition, algorithms, and simulations. The simulation results analyzed by applying the adaptive algorithm are shown, and their usefulness is confirmed. In conclusion, looking at the optimization process for the convergence factor of the Least Mean Square and Filtered-x Least Mean Square Adaptation Algorithm was possible. It is thought that it has laid the foundation for implementing many-to-many communication, the function of smart helmets that reduces or removes various noises at the shipyard in the future.

• 대한인간공학회지
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• 제31권1호
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• pp.191-196
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• 2012

Objective: The Work-related musculoskeletal disorders(WMSDs) have been a problem on industrial occupational safety and health in Korean shipyard industry. It has been a big social problem. Background: As a result, Korean government enacted a law to prevent musculoskeletal disorders at work and some major companies have already implemented an ergonomics program. Method: This paper presents a study on the effect of an ergonomics program in a Korean shipbuilding company during the last ten years. Conclusion: The Incidence of WMSDs, the worker's compensation cost and the lost time were decreased after implementation of the ergonomics program. Application: The results of the publishing will help efficient operation of MSDs prevention activity in other companies.

• 한국인터넷방송통신학회논문지
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• 제24권2호
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• pp.41-49
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• 2024

본 논문은 선박 건조 현장에서 작업자 위치 추적 시스템의 모델링 및 구현 내용을 다룬다. 산업 현장에서 작업자의 위치 파악은 안전사고 예방을 위한 중요한 요소로 강조된다. 이에 본 논문에서는 전력선 통신과 비컨 통신을 결합한 시스템을 활용하여 작업자의 위치를 정확하게 추적하는 방법을 제시한다. 주요 구성 요소인 비컨 스캐너와 외부 모니터링 서버 시스템 구현을 다루며, 실험을 통해 시나리오별로 작업자의 위치 변화를 확인하고, 관리자 웹 서비스를 통해 작업자 위치 현황을 확인하는 방법을 제시한다. 이를 통해 안전 관리자에게 실시간 위치 정보를 제공하여 작업자의 안전을 보다 효과적으로 관리할 수 있는 시스템을 제안한다.

• 한국산업보건학회지
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• 제23권2호
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• pp.41-49
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• 2013

Objectives: The purpose of this study was to clarify the association between serum carcinoembryonic antigen (CEA) and type of work in the shipbuilding industry. Methods: 1,072 final study subjects were admitted to a general hospital from April through July 2010 for the purpose of medical examination. Data on general characteristics such as age, smoking history, alcohol history and exercise habits was gathered through structured self-administered questionnaires. Information on job factors was collected from a medical examination, by interview and through company personnel data. Serum CEA levels were measured after eight hours' fasting and were analyzed by a radioimmunoassay. Results: On univariate analysis, the mean serum CEA level was significantly higher among married (p=0.02), older age (p<0.01), longer work time (p<0.01), smokers (p<0.01), lower education (p<0.01), and indirect and direct exposure groups (p<0.01). On multiple regression analysis, serum CEA level was influenced by smoking (p=0.001), duration of work (p=0.019), and direct exposure group (p<0.001). However, among the direct exposure group, serum CEA level was not significantly different between welding, mounting, electro-device constructive work, grinding and cleaning, and painting. Conclusions: The goal of this research was to determine if there were differences between serum CEA levels according to occupational role among shipyard workers. The direct exposure group of shipyard workers had a relatively higher level of serum CEA than did the indirect exposure group and office workers, most likely due to occupational exposure.

• 대한조선학회논문집
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• 제54권5호
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• pp.421-429
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• 2017

It is very important to manage the position of the blocks in the shipyard where the work is completed, or the blocks need to be moved for the next process operation. The moving distance of the block increases according to the position of the block stockyard. As the travel distance increases, the number of trips and travel distance of the transporter increases, which causes a great deal of operation cost. Currently, the selection of the block position in the shipyard is based on the know-how of picking up a transporter worker by the production schedule of the block, and the location where the block is to be placed is determined according to the situation in the stockyard. The know-how to select the position of the block is the result of optimizing the position of the block in the shipyard for a long time. In this study, we used the accumulated data as a result of the operation of the yard in the shipyard and tried to select the location of blocks by learning it. Decision tree learning algorithm was used for learning, and a prototype was developed using it. Finally, we prove the possibility of selecting a block stockyard through this algorithm.

• 한국산업보건학회지
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• 제15권2호
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• pp.83-89
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• 2005

This study aims to compare a self-reported and expert-observed method on ergonomic risk factors of Work-related Musculoskeletal Disorders (WMSDs). The checklist was developed based on the results of previous studies, and the symptoms of WMSDs were obtained using a self-reported questionnaire from 1,029 shipyard workers. The risk factors were assessed through the self-report by workers and video analysis by ergonomists. The symptom prevalence at the low back (59.2%), shoulders (50.8 %), and knees (49.7%) were relatively higher than those at other body parts. Odds ratios (ORs) by body parts were 2.48 to 2.90 for the risk job, and the ORs were significantly different from those of the low risk job. The risk factor scores by body parts between workers and ergonomist were very high correlation(r=0.82 to 0.92). The rates of self-report from risk job were 54.0% (elbow and arm) to 72.1 % (low back), but sometimes overestimated(105.7 to 122.6%) than those by ergonomists. The checklist, developed in this study, will be an efficient tool for the evaluation of risk jobs using self-report by workers.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.1032-1037
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• 2003

This work measured the hand-transmitted vibration due to shipyard worker's grinding and assessed the vibration exposure for predicted 10% prevalence of vibration-induced white finger in a group of exposed persons according to test procedure of ISO 5349-1. And also the transmissibility performance of resilient material, mainly applied to anti-vibration gloves in present market was measured on the basis of ISO 13753 and confirmed that the material would Probably not provide greater attenuation below 30㎐, the dominant frequency range of hand-transmitted vibration due to grinder.