• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1995년도 제47차 추계 학술대회 연제집
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• pp.99-100
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• 1995

• 대한조선학회논문집
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• 제47권6호
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• pp.836-842
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• 2010

Safety system including location monitoring system for blasting workers was studied. Positioning performance of the location monitoring system was highly dependent on communication protocol and the number of access points in the blasting cell. RTLS(Real Time Location System) is an important technology to develop the location information of workers and variously used to enhance workers safety. Location monitoring system with Cell-ID and RSSI wireless communication technology was verified to have a proper positioning performance for the steel block application.

• 한국산업보건학회지
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• 제24권4호
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• pp.547-555
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• 2014

Objective: This study was conducted to investigate the association between subjective distress symptoms and argon welding among workers in Gyeongnam Province shipyard. Method: 31 argon and 29 non-argon welding workers were selected as study subjects in order to measure concentrations of personal dust, welding fumes and other hazardous materials such as ZnO, Pb, Cr, FeO, MnO, Cu, Ni, $TiO_2$, MgO, NO, $NO_2$, $O_3$, $O_2$, $CO_2$, CO and Ar. An interviewer-administered questionnaire survey was also performed on the same subjects. The items queried were as follows: age, height, weight, working duration, welding time, welding rod amounts used, drinking, smoking, and rate of subjective distress symptoms including headache and other symptoms such as fever, vomiting and nausea, metal fume fever, dizziness, tingling sensations, difficulty in breathing, memory loss, sleep disorders, emotional disturbance, hearing loss, hand tremors, visual impairment, neural abnormality, allergic reaction, runny nose and stuffiness, rhinitis, and suffocation. Statistical analysis was performed using SPSS software, version 18. Data are expressed as the mean ${\pm}SD$. An ${\chi}^2$-test and a normality test using a Shapiro wilk test were performed for the above variables. Logistic regression analysis was also conducted to identify the factors that affect the total score for subjective distress symptoms. Result: An association was shown between welding type (argon or non-argon welding) and the total score for subjective distress symptoms. Among the rate of complaining of subjective distress symptoms, vomiting and nausea, difficulty breathing, and allergic reactions were all significantly higher in the argon welding group. Only the concentration of dust and welding fumes was shown to be distributed normally after natural log transformation. According to logistic regression analysis, the correlations of working duration and welding type (argon or non-argon) between the total score of subjective distress symptoms were found to be statistically significant (p=0.041, p=0.049, respectively). Conclusion: Our results suggest that argon welding could cause subjective distress symptoms in shipyard workers.

• Molecular & Cellular Toxicology
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• 제2권2호
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• pp.134-140
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• 2006

Because shipyard workers are involved with various manufacturing process in shipyard industry, and they are exposed to many kinds of hazardous materials. Especially, painting workers were exposed polycyclic aromatic hydrocarbons (PAH). This study was conducted to assess the exposure status of PAH based on job-exposure matrix. We investigated the effect of genetic polymorphism of xenobiotic metabolism enzymes involved in PAH metabolism on levels of urinary metabolite. A total of 93 shipbuilding workers were recruited in this study. Questionnaire variables were age, sex, use of personal protective equipment, smoking, drinking, and work duration. The urinary metabolite was collected in the afternoon and corrected by urinary creatinine concentration. The genotypes of CYP1A1, CYP2E1, GSTM1, GSTT1 and UGT1A6 were investigated by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methods with DNA extracted from venous blood. Urinary 1-OHP levels were significantly higher in direct exposured group (spray and touch-up) than indirect exposed group. Urinary 1-OHP, concentration of the high exposure with wild type of UGT1A6 was significantlyhigher than that of the high exposure with other UGT1A6 genotype. In multiple regression analysis of urinary 1-OHP, the regression coefficient of job grade was statistically significant (p<0.05) and UGT1A6 was not significant but a trend (p<0.1). The grade of exposure affected urinary PAH concentration was statistically significant. But genetic polymorphism of xenobiotics metabolism enzymes was not statistically significant. Further investigation of genetic polymorphism with large sample size is needed.

• International Journal of Internet, Broadcasting and Communication
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• 제12권4호
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• pp.93-101
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• 2020

Shipyards are potential environments for using IoT services, sensor networks, and delay tolerant networks. Simulations of those services and networks strongly rely on human mobility models. Results obtained with an unrealistic model may not reflect the true performance of applications, protocols, and algorithms in a shipyard. A lot of synthetic models for human movements have been studied but most of them are generic and focus on the daily movements of humans on city scales. Nevertheless, workers in shipyards have unique movement characteristics such as movement speed, pause time, and attractions places. For instance, workers usually move to some places, where they work, and rarely move to other places in the factory. Movement characteristics of workers not only depend on workers but also on tasks, which they do. For instance, workers, who paint ships, have similar movement speed and pause time. Hence, in this paper, human movements in shipyards are studied. We propose a new human mobility model called the human mobility mode in shipyards (MIS). In MIS, workers are classified into multiple types. Movement characteristics of a worker are similar to other workers in the same type. Based on the visiting probability, workers have some places, where they frequently visits, and some places, where they rarely visit. We analyze real mobility traces and studie to achieve human movement characteristics from real traces. The results show that MIS provides a well-match to the movement characteristic from real traces.

• 한국산업보건학회지
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• 제22권1호
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• pp.42-51
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• 2012

Objectives: To compare the exposure level of extremely low frequency (ELF) magnetic fields among semiconductor workers, shipyard welders and office workers. Methods: To measure the ELF magnetic field concentration, EMDEX LITE (Enertech, USA) were used and monitored for eight hours continuously. Five companies handling the electric and magnetic field (EMF) source were investigated, which the exposure groups were classified into three groups: semiconductor workers, welders, and office workers. Welder group was chosen as a high exposed group and office group as a low exposed group. Results: The arithmetic mean (${\pm}SD$) and geometric mean (GSD) of personal exposure level of semiconductor workers were 0.73 (${\pm}1.33$) ${\mu}T$, 0.43 (2.88) ${\mu}T$, respectively. The ceiling value ranged between 0.18 and 123.2 ${\mu}T$. Welders were exposed high with the arithmetic mean value of 3.46 (${\pm}\;13.46$) ${\mu}T$ and geometric mean value of 0.45 (4.70) ${\mu}T$, respectively, and ceiling value range of 75.5~129.6 ${\mu}T$. The exposure levels of office workers were low compared to other exposed groups; the arithmetic mean 0.05 (${\pm}0.13$) ${\mu}T$, geometric mean 0.03 (2.38) ${\mu}T$ and ceiling value range 0.37~3.35 ${\mu}T$. This study revealed statistically significant differences of the mean ELF magnetic field exposure doses among three groups (p < 0.01). Conclusions: The average ELF magnetic field exposure doses of semiconductor workers were much higher than those of office workers in control group, but were lower than those of welders in high exposure group.

• 전자공학회논문지CI
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• 제47권6호
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• pp.40-46
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• 2010

조선소에서 트랜스포터와 블록의 정확한 위치를 파악하는 일은 선박건조 생산 능력을 증가시키는 요소이지만, 현재는 관리자 및 숙련공의 판단에 의해 작업이 진행되고 있는 실정이다. 본 논문에서는 조선소의 주요 이동객체인 트랜스포터 및 블록에 대한 실시간 위치 추적 시스템 구축에 대해 소개하고 그 시스템의 주요 기능 가운데 하나인 블록의 상차/하차 상태를 판단하는 방법을 제안하였다. 이 기능을 구현하기 위해 세 가지 센서가 사용되었다. 첫 번째는 대상 블록을 인식하기 위한 RFID 리더이고, 두 번째는 바닥에 매설된 태그를 인식하여 트랜스포터의 위치를 추적하기 위한 RFID 리더이며 또 하나는 물체 인식을 위한 초음파센서이다. 이를 이용하여 조선소 현장에서 두 차례에 걸쳐 시험이 실시되었고 1차 실험에서 나타난 오류를 수정한 후, 최종실험에서는 현장에 적용 가능한 결과를 얻을 수 있음을 확인하였다.

• 해양환경안전학회지
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• 제26권6호
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• pp.601-605
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• 2020

선박은 크고, 복잡한 구조로 되어 있기 때문에 다른 작업자의 위치를 알아내기 어려우며, 특히 작업자가 쓰러진 경우에는 발견하기가 쉽지 않아 신속한 대처가 어렵다. 그리하여, 신체에 디바이스를 부착하는 방법이나 카메라를 이용하여 쓰러짐을 검출하기 위한 연구가 진행되고 있다. 기존의 영상기반 쓰러짐 검출은 사람의 신체부위를 검출하여 쓰러짐을 판단하였으나, 조선소에서는 다양한 복장과 자세로 작업으로 인해 검출하기가 어렵다. 본 논문에서는 쓰러짐 영역 전체를 추출하여 딥러닝 학습으로 선박 작업자의 쓰러짐을 이미지 기반으로 검출하였다. 학습에 필요한 데이터는 조선소의 건조중인 선박에서 쓰러진 모습을 연출하여 획득하였으며, 이미지를 좌우대칭, 크기조절, 회전하여 학습 데이터의 수를 증가하였다. 성능평가는 정밀도, 재현율, 정확도 그리고 오차율로 평가하였으며, 데이터의 수가 많을수록 정밀도가 향상되었다. 다양한 데이터를 보강하면 카메라를 이용한 쓰러짐 검출 모델의 실효성이 향상됨으로서 안전 분야에 기여할 수 있을 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.

• 대한용접접합학회:학술대회논문집
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• 대한용접접합학회 2002년도 Proceedings of the International Welding/Joining Conference-Korea
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• pp.412-417
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• 2002

In manufacturing of ships, problems to be solved are improvement of productivity and stabilization of quality due to the shortage of skilled workers. Working environment, in particular welding environment, is also to be improved. One solution among these problems is to rationalize and automate these working. This paper is focused on the welding automation technologies in shipbuilding industry. The features of shipbuilding in the aspect of automation are described, and the main welding robot systems to be developed by SRI are introduced in each working stages.