• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3162-3171
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• 2015

This study was aimed to investigate the relation between codependency and mental health and to get a idea dealing with social worker's codependency for their healthy and professional caring, which is an important factor between social worker and client in social work practice. The subjects of this study consisted of 290 social workers working in social welfare facilities of Gangwon-do. The data were collected through self-reported questionnaires from Jun. to Oct., 2013. Results indicated that codependency showed over 50% of social workers were moderate-severe level and there were the significant correlation between codependency and mental health. Implications of findings of this study were discussed.

• Journal of Society of Preventive Korean Medicine
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• v.8 no.1
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• pp.47-58
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• 2004

This study was conducted to evaluated the degree of job-related life style and stress of industrial workers to present fundamental materials of preventive oriental medicine. The medical examination with oriental medicine method was performed from October 14 to November 1, 2002 for the 474 industrial workers and general characters, life style and Psychosocial Well-being Index(PWI) were collected by using self-recording type questionnaire. The results were as follows; 1) All 474 of subjects were male, job type was distributed into technician, 37.8% of them, white collar worker, blue collar worker, research worker in an orderly fashion. 2) As a result of comparison between the job types in general characters, research worker group was the highest in education level, above 10 years group in employee duration and 1.5-2.99 million won group in monthly income was the largest group in all job type and the distribution was significantly different. 3) Analyzing the difference in life style according to the job type shows that significantly highest prevalence of drinking alcohol was found in blue collar workers, they drank alcohol 2-4 times a week and that workers did not smoke in all group of job type and the prevalence of exercise was significantly high in less than 1 time a week. 4) Analyzing the difference in the degree of stress according to the job type shows that blue collar worker group had the highest score in Factor 1, Factor 4 fields, technician group had the highest score in Factor 2 field and the differences were significant. Considering above results, the present study shows that there are difference in life style and stress according to the job type in industrial workers and that health management according to job type must be required to improve health condition and to prevent disease of industrial workers in the future.

• Proceedings of the Safety Management and Science Conference
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• 2004.05a
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• pp.241-245
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• 2004

In this paper, we implement a portable bioelectric signal measurement system for the safety of industrial workers. The developed system consists of two parts: the one is boielectric signal measurement unit and the other is signal analyzer system with PDA. The former includes signal processing part, A/D convertor, and 8051 based microprocessor, the latter includes software for signal analysis and display. The developed system detects industrial worker's ECG and displays and stores it to PDA. The ECG data in PDA can be transmitted to PC located in a distance, allowing a doctor to review the ECG and make a treatment decision. A doctor analyzes the ECG data and gives medical treatment to industrial worker.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.4
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• pp.115-131
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• 1997

The problem addressed in this paper is to minimize the deviations of workloads assigned to worker and to maximize the total utilizations(degree of skill) between workers and machines simultaneously. Each worker can handle the set of machines with the different degree of skill and each machine has the workloads needed to be processed. Also, each worker has to be assigned to at least one machine with the minimum workload deviation. This problem can be formulated as a preemptive goal programming with generalized assignment constraints. The proposed algorithm consists of two phases. First, a capacitated circulation network is constructed to assign the workers to machines with the maximum total utilizations while considering workloads balance. Then, a refinement process is applied to the split machines to satisfy the feasibility condition. The real industrial application in a plastic extrusion manufacturer is included along with several computational experiments.

• Journal of Platform Technology
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• v.11 no.6
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• pp.79-88
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• 2023

Recently, industrial accidents have continued to increase due to the industrialization, and worker safety management is recognized as essential to reduce losses due to hazardous factors at work places. To manage the safety of workers, it is required to apply customized safety management artificial intelligence technology that takes into account the characteristics of industrial sites, and a service for real-time risk detection and response to workers depending on the situation based on safety accident types and risk analysis for each task and process. The proposed safety management service consists of worker devices to acquire sensor data, edge devices to collect from IoT-based sensors, and a voice chatbot to support workers' disaster response. The voice chatbot plays a major role in interacting with workers at disaster sites to respond to risks. This paper focuses on real-time risk response using an IoT-based system and voice chatbot on a server for work safety according to the worker's situation. A Scenario-based voice chatbot is used to process responses at the edge level to provide safety management services.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.8 no.1
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• pp.105-114
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• 1998

In this study, 108 thinners were analyzed to identify their composition. The purposes of this study were to provide the data for MSDS and worker exposure levels. Thinners were collected from manufacturing industries, distributors and users. Wide ranges of thinner components were found ; Toluene, xylene, and ethyl benzene were most often found. Next, MIBK, cellosolve acetate, butyl cellosolve, and butyl acetate were found in 20-40 thinners. Others, such as acetone, n-hexane, cyclohexane, heptane, methylcyciohexane, octane and nonane were also found. There were about 5-6 components in each thinner. In the view point of Industrial Hygiene, Benzene was the most important component of thinners, which procures leukemia. Benzene was found from 8 kinds of thinners out of the total 108 surveyed. Thus, Content of benzene in thinners must be evaluated when industrial hygiene surveys are performed. Aromatic hydrocarbons were identified from 71 kinds of thinners out of total 108 and their contents were 10-87%. Alkanes were not contained in automobile painting, spraying, degreasing, urethane and epoxy thinners but lacquer, enamel and coating thinners.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.2
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• pp.208-218
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• 2014

Objectives: The major objective of this study was to develop and validate a tier 1 exposure model utilizing worker exposure monitoring data and characteristics of worker activities routinely performed at construction sites, in order to estimate worker exposures without sampling. Methods: The Registration, Evaluation, Authorization and Restriction of Chemicals(REACH) system of the European Union(EU) allows the usage of exposure models for anticipating chemical exposure of manufacturing workers and consumers. Several exposure models have been developed such as Advanced REACH Tools(ART). The ART model is based on structured subjective assessment model. Using the same framework, a tier 1 exposure model has been developed. Worker activities at construction sites have been analyzed and modifying factors have been assigned for each activity. Korean Occupational Safety and Health Agency(KOSHA) accrued work exposure monitoring data for the last 10 years, which were retrieved and converted into exposure scores. A separate set of sampling data were collected to validate the developed exposure model. These algorithm have been realized on Excel spreadsheet for convenience and easy access. Results: The correlation coefficient of the developed model between exposure scores and monitoring data was 0.36, which is smaller than those of EU models(0.6~0.7). One of the main reasons explaining the discrepancy is poor description on worker activities in KOSHA database. Conclusions: The developed tier 1 exposure model can help industrial hygienists judge whether or not air sampling is required or not.

• Journal of Korean Institute of Industrial Engineers
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• v.1 no.1
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• pp.73-77
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• 1975

In an earlier study Whitehill and Takezawa found the American worker's higher propensity to move from one employer to another as compared to the Japanese system of life time employment. Their cultural continuum checklist was administered to 1467 Korean workers. This study finds that in spite of the East-Asian geographical and cultural proximity shared between Korea and Japan, the Korean workers are more willing than Japanese to move freely from one firm to another, as vindicated by the Korean industry's higher average monthly separation rates.

• IE interfaces
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• v.14 no.1
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• pp.106-110
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• 2001

The importance of development of occupational safety index is truly great. It will contribute to the wise direction of safety program. In present, frequency and severity ratios were the standard measure. These terms express the incidence of major injuries and severity of the major injuries experience, each with relation to the employee-hours of work exposure during the period that is measured. But these measure don't expressed the dangerous feeling degree of worker. In this study, Effective Industrial Safety Index(EISI) was developed using dangerous feeling degree of worker, frequency of injuries, and severity of injury. EISI can be used as an aid for effective safety management in workplace.