• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.967-970
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• 1988

This paper deals with automatic system of acoustic noise detection for realization of factory automation. The existing inspection process of failure products has mostly been executed in hand by rich-experienced workers. It is difficult to accomplish effectively or systematically the failure test of products owing to the diversality of ill-conditions. But the problem about it must be solved in viewpoint of cost down and factory automation in addition to the reliability of products. The necessity of automatic inspection system to inspect automatically undesirable acoustic noise of products which is one of the kinds of failure is suggested, and the procedure to develope it and the function of each system components are explained briefly.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.4
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• pp.165-175
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• 2015

Based on reviewing the literature and statistical year books on current projects that are targeting Industry 4.0 and Smart Factory, this paper aims to show concepts of Industry 4.0, and Smart Factory. Also it shows 5 projects for Industry 4.0 led by governments that worry over their low employment and productivity in main industrialized countries: Germany, China, Japan, the USA, and Korea. In addition it presents some problems which are very important but easy to be overlooked, especially on employment, and it makes three suggestions to solve employment problems. First, government should tax the profit which a company makes on reducing workers in spite of a high rate of profit through technology innovation. Second, to help small businesses to last longer, government should link major companies and small companies. Third, government, academic circles and the industrial world should take part in configuring consortia like American "Industry talent Consortium" to cultivate IT Talent.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.15-19
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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 workers safety on site. A new system, of which Robot-based Construction Automation (RCA), is currently being developed, and RCA systems consist of Construction Factory(CF), Automated Bolting Robots, and Climbing Hydraulic Robot. Especially. Climbing Hydraulic robot system is very important to RCA systems because of function as lifting the Construction Factory. In this paper, We validate safety of Climbing Hydraulic Robot system before application for real building construction.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.65-72
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• 2022

With the mark of the fourth industrial revolution, the smart factory is evolving into a new future manufacturing plant. As a human-machine-interactive tool, augmented reality (AR) helps workers acquire the proficiency needed in smart factories. The valuable data displayed on the AR device must be delivered intuitively to users. Current AR applications used in smart factories lack user movement calibration, and visual fiducial markers for position correction are detected only nearby. This paper demonstrates a marker-based object detection using perspective projection to adjust augmented content while maintaining the user's original perspective with displacement. A new angle, location, and scaling values for the AR content can be calculated by comparing equivalent marker positions in two images. Two experiments were conducted to verify the implementation of the algorithm and its practicality in the smart factory. The markers were well-detected in both experiments, and the applicability in smart factories was verified by presenting appropriate displacement values for AR contents according to various movements.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.444-446
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• 2022

In this study, technology is rapidly developing due to the fourth industry, which is drawing attention these days, and the pace of change in today's industries is changing in an instant. Among them, the study compares the various systems of smart factory, a manufacturing industry that requires customized production as workers are gradually decreasing due to the aging population and consumers' needs are diversified and diversified.

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.4
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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.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.21 no.3
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• pp.162-167
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• 2011

To identify the relationship between types of job classification (typical and atypical) and the levels of recognition of noise and the hearing threshold shift, a total of 457 workers in a cosmetic company were studied utilizing a questionnaire and the audiometric hearing test. The results were analyzed by factor analysis, t-test, and general linear model, as appropriate. The results showed that atypical workers had higher level of noise recognition but had lower levels of hearing ability, noise exposure, and the knowledge on hearing loss prevention, compared with those of typical workers. The high noise level group of typical workers showed higher threshold shift levels than that of atypical workers. Significant differences were found at 4 kHz for both ears and in right ear only for hearing threshold shift after adjusting age.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.11 no.1
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• pp.85-91
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• 2001

Background : It goes without saying that cumulative trauma disorders is spreading to various types of occupation in many advanced countries including America, and it forms considerable rate of total occupational disorders already. and as the result of it, the seriousness of worker health problem and economic loss owing to production loss, recuperation expense, etc. are on the increasing trend through whole society. In case of Korea, the related measures as well as accurate fact-finding survey data on cumulative trauma disorders aren't prepared in detail, so it implies forward problem would be serious. Purpose : The purpose of this study is to draw the risk factor of cumulative trauma disorders in production factory, to forecast the rate of occurrence of cumulative trauma disorders on the basis of subjective symptoms, and to present forward realistic and effective prevention measures by showing the risk of cumulative trauma disorders, objecting the production factory of a domestic riding automobile assembly shop, by estimating in the aspect of human-engineering through the analysis of risk factor being a cause of cumulative trauma disorders. Methods : For this study, I investigated work type and on-duty hours, breathing time, and subjective symptoms of cumulative trauma disorders through questionnaire, objecting the workers in press. car body, coating, and outfit factory. Results : As a result of research, 81.2% of workers were in the physical burden due to present working, and the highest prevalence by part of body is an waist. The higher a rule score, The higher the number of workers complaind for working intensity, and the higher age work duration, tool used time, the higher prevalence of subjective symptoms by part of body. The number of workers complaind subjective symptom for treatment is the highest in drugstore.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.4
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• pp.133-139
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• 2022

This study deals with the formation of Jongyeonbangjeok's Gwangju Factory in the 1930's to 80's, and the findings are shown below: In the period of formation, the factory was rectangular-shaped from north to south, and the structure was located at the center of the site, and in the east of it, there was a dormitory connected from south to north. The building was arranged with an open area on the south. In the east of the site where company houses were located, same-sized structures were arranged along the axis.In the period of change, the factory was restored about the damage from the Korean War, and it went through the process of division into two companies. As a result, the factory in the center of the site was divided into left and right ones, and the dormitory and the group of company houses were, too, divided into two, so division was made largely into southern and northern parts. In the period of stabilization, along with factory extension in each of the companies, welfare for factory workers was expanded by building more houses or opening sport facilities. After the 1980's, too, the existing factories were either extended or remodeled according to the induction of equipment, and some showed changes in their functions due to a fire or such.

• Korean Journal of Occupational Health Nursing
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• v.17 no.1
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• pp.45-54
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• 2008

Purpose: This study was conducted to compare and estimate sleep patterns and health status of the shift and non-shift factory workers. Methods: The subjects of this study were 290 male workers in 13 companies, which manufacture automobile parts in Daegu, Korea. Survey data were collected from March 5th, 2007 to April 5th, 2007. PSQI was scored to check the quality of sleep, ESS for excessive daytime sleep disorder, ISI for insomnia, and SF-36 for health status. The data were analyzed by $X^2$ and t-test using SPSS 12.0 for windows. Results: There was a difference in quality of sleep patterns between shift and non-shift workers (p=.033). A difference in the pattern of excessive daytime sleep (P=.005) and in the degree of insomnia (p=.030) were observed between the two groups. However, there were no significant difference in health status between the two groups. Conclusion: Based on these results, shift workers are in need of careful and continuous monitoring regarding sleep disorders and we need to develop health promotion programs including sleep hygiene for shift workers.