• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.439-441
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• 2021

The number of bedsores patients is increasing every year due to the aging society, and the importance of bedsores management is emerging as a burden on nurses due to the pandemic situation of COVID-19. Curses are a disease that causes ulcers due to floating posture, and it is a disease that is burdensome for nurses to periodically change their body position. Therefore, this study proposes a system that can reduce the burden on nurses by detecting the risk of inducing bedsores and monitoring the status of calls in real time. Through this system, it will be possible to increase nursing work by solving the difficulties of nursing in the bedsores of nurses.

• Journal of Microbiology and Biotechnology
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• v.28 no.3
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• pp.498-502
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• 2018

Molecular imaging is a powerful method for tracking various infectious disease-causing pathogens in host organisms. Currently, a dual molecular imaging method that can provide temporal and spatial information on infected hosts at the organism, organ, tissue, and cellular levels simultaneously has not been reported for Burkholderia pseudomallei, a high-risk pathogen that causes melioidosis. In this study, we have established an experimental method that provides spatiotemporal information on infected hosts using luminescent and fluorescent dual-labeled B. pseudomallei. Using this method, we visualized B. pseudomallei infection at the organism, organ, and tissue levels in a BALB/c mouse model by detecting its luminescence and fluorescence. The infection of B. pseudomallei at the cellular level was also visualized by its emitted fluorescence in infected macrophage cells. This method could be an extremely useful and applicable tool to study the pathogenesis of B. pseudomallei-related infectious diseases.

• Journal of Veterinary Science
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• v.25 no.1
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• pp.18.1-18.27
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• 2024

Mastitis is one of the most widespread infectious diseases that adversely affects the profitability of the dairy industry worldwide. Accurate diagnosis and identification of pathogens early to cull infected animals and minimize the spread of infection in herds is critical for improving treatment effects and dairy farm welfare. The major pathogens causing mastitis and pathogenesis are assessed first. The most recent and advanced strategies for detecting mastitis, including genomics and proteomics approaches, are then evaluated. Finally, the advantages and disadvantages of each technique, potential research directions, and future perspectives are reported. This review provides a theoretical basis to help veterinarians select the most sensitive, specific, and cost-effective approach for detecting bovine mastitis early.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.81-91
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• 2010

This study carried out the investigation about the actual conditions of the management, disaster analysis and safety awareness on excavator in one of construction equipment and tried to make it's preventive measures. To achieve this, first of all, the accident of the internal Construction Industry process Investigation and Analysis, and then analyze an cause of accident based on it. Next, For the conditions of safety management conduct a survey to Investigation and Analysis and Propose preventive measures. The results of this study can be summarized as follows. 1st, Status of safety awareness and management of construction equipment tend to seek quickly and easily for the interests of sight. 2nd, Half the precincts of the equipment is causing major disaster. 3rd, The risk of excavator operation's indicators and drivers is so much potential. 4th, The preventive measures are needed for strengthening safety education, professional legal education, changes in safety awareness, the development of prevention system.

• Proceedings of the Safety Management and Science Conference
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• 2010.11a
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• pp.283-297
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• 2010

This study carried out the investigation about the actual conditions of the management, disaster analysis and safety awareness on excavator in one of construction equipment and tried to make it's preventive measures. To achieve this, first of all, the accident of the internal Construction Industry process Investigation and Analysis, and then analyze an cause of accident based on it. Next, For the conditions of safety management conduct a survey to Investigation and Analysis and Propose preventive measures. The results of this study can be summarized as follows. 1st, Status of safety awareness and management of construction equipment tend to seek quickly and easily for the interests of sight. 2nd, Half the precincts of the equipment is causing major disaster. 3rd, The risk of excavator operation's indicators and drivers is so much potential. 4th, The preventive measures are needed for strengthening safety education, professional legal education, changes in safety awareness, the development of prevention system.

• Journal of Preventive Medicine and Public Health
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• v.26 no.1 s.41
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• pp.20-36
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• 1993

Work-related low back pain is one of the major factors that cause the loss of working power especially in actively working age, therefore controlling the work-related low back pain is one of the major issues in the field of industrial safety and health. This study was performed for detecting the risk factors and proposing the efficient control program of the work-related low back pain. The subjects were male workers employed at the manufacturing industry in Pusan with longer than 6 months' working duration. The data was collected by self-reported questionnaire and interview from May 1 to October 31,1992. The contents of questionnaire were as follows:. the experience of low back pain within the recent one month, general characteristics(age, marital status, education level, religion, regular exercise), physical characteristics(height, weight), employment status(working duration, daily working hours, rest during work, satis(action fur the job), type of work and working environments(posture, forward bending, lifting and movement, satisfaction for table and chair). The result was analyzed for 608 entire respondents by case-control comparative method. The number of cases was 152 with a history of work-related low back pain, so the relative frequency of self-reported work-related low back pain was 25.0%, and the number of controls was 344 without any history of low back pain. As a result, two characteristics of the employment status(working duration, satisfaction fur the job) and all characteristics of type of work and working environments showed a statistical significance between the case and control groups(p<0.01). The Oddb ratios of these variables for Work-related low back pain were calculated. They were 7.88 for the satisfaction fur chair, 7.86 for lifting and movement,3.31 for satisfaction for table, and 2.22 fur bending forward(p<0.01). And for the multivariate logistic regression analysis confirmed that unsatisfaction for table was independent risk factor for Work-related low back pain. In summary, though this study was based upon the self-reported questionnaire and the subjective complaints, the satisfaction for chair, lifting and movement, satisfaction for table, and bending forward concerned with the type of work and working environments were considered as the main factors causing the work-related low back pain, and the work-related low back pain may be preventable by the ergonomic control of these factors.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.75-84
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• 2021

As the weather changes become frequent, weather disasters are increasing, causing more damage to plastic greenhouses. Among the damage caused by various disasters, damage by snow to the greenhouse takes a relatively long time, so if an alarm system is properly prepared, the damage can be reduced. Existing greenhouse design standards and snow warning systems are based on snow depth. However, even in the same depth, the load on the greenhouse varies depending on meteorological characteristics and snow density. Therefore, this study aims to secure the structural safety of greenhouses by developing sensors that can directly measure snow loads, and analysing the warning criteria for load using a stochastic model. Markov chain was applied to estimate the failure probability of various types of greenhouses in various regions, which let users actively cope with heavy snowfall by selecting an appropriate time to respond. Although it was hard to predict the precise snow depth or amounts, it could successfully assess the risk of structures by directly detecting the snow load using the developed sensor.