• 대한안전경영과학회지
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• 제6권3호
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• pp.27-40
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• 2004

There are much dangerous machine in worksite. These make the rate of accidents increase. Specially, among them, the Press work has the highest rate of accidents. Therefore, it has been managed by Industrial safety-health law. It is very important to make a special study of work using the dangerous machine. In press work, it is also important to develop safety system program to improve productivity and work safely, In this reaserch, the safety management system is built for the work improvement of the Press. This paper showed method about dangerous machine.

• 대한안전경영과학회지
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• 제6권3호
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• pp.15-26
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• 2004

There is much dangerous machine in worksite. These make the rate of accidents increase. Specially, among them, dryness equipment work has the highest rate of accidents. Therefore, it has been managed by safety-health law. It is very important to make a special study of work using the dangerous machine. In press work, it is also important to develop safety system program to improve productivity and work safely In this reaserch. the safety mangement system is built for the work improvement of the Press. I will try new development method about dangerous machine.

• 한국안전학회지
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• 제28권6호
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• pp.1-5
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• 2013

Notorious press machine bothers employers by causing so many industrial accidents which are mostly of caught-in or between type. In 2008, press machines caused 1665 cases of such type of accidents, which reached about 11% of all those. Even though various approaches has been adopted to prevent those press machine accidents, up to now, no one was found to be satisfactory. In this study, two kinds of companies, accident-occurred and accident-free by press machine, were surveyed to find out positive and negative factors for accidents prevention. 400 companies which experienced accidents in 2008 and 200 companies which did not experience accident at all during the same period were selected for this survey. Most of these companies are small companies that employ less than 50 employees. Even though small companies are exempted from legal obligations to have a safety management system for accident prevention, we surveyed about safety management systems of those companies because of its crucial importance for accident prevention including whether they appointed safety managers and various supervisors. Awareness and efforts for safety of employers and employees were also measured. Results were analysed by the method of cross tabulation analysis. Main findings of this study are as follows. Most accident-occurred companies did not appoint any safety manager or supervisor. While it is recommended that the workplace of high accident rate have a safety manager. In addition, as less employers' effort for safety was made in accident-occurred companies in order to prevent accidents during press processing, the author proposes an amendment to the relevant law. Finally, the most referred reason for the negligence of hazard is the cumbersomeness in installing safeguards.

• Computers and Concrete
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• 제14권6호
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• pp.727-743
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• 2014

The management of existing concrete bridges has become a major social concern in many developed countries due to the large number of bridges exhibiting signs of significant deterioration. This problem has increased the demand for effective maintenance and renewal planning. In order to implement an appropriate management procedure for a structure, a wide array of corrective strategies must be evaluated with respect to not only the condition state of each defect but also safety, economy and sustainability. This paper describes a new performance evaluation system for existing concrete bridges. The system evaluates performance based on load carrying capability and durability from the results of a visual inspection and specification data, and describes the necessity of maintenance. It categorizes all girders and slabs as either unsafe, severe deterioration, moderate deterioration, mild deterioration, or safe. The technique employs an expert system with an appropriate knowledge base in the evaluation. A characteristic feature of the system is the use of neural networks to evaluate the performance and facilitate refinement of the knowledge base. The neural network proposed in the present study has the capability to prevent an inference process and knowledge base from becoming a black box. It is very important that the system is capable of detailing how the performance is calculated since the road network represents a huge investment. The effectiveness of the neural network and machine learning method is verified by comparing diagnostic results by bridge experts.