• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1533-1537
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• 2012

In general, breast cancer is the most common malignancy among women in developed as well as some developing countries, often being the second leading cause of cancer mortality after lung cancer. Using a parametric log-logistic model to consider the effects of prognostic factors, the present study focused on the 5-year survival of women with the diagnosis of breast cancer in Southern Iran. A total of 1,148 women who were diagnosed with primary invasive breast cancer from January 2001 to January 2005 were included and divided into three prognosis groups: poor, medium, and good. The survival times as well as the hazard rates of the three different groups were compared. The log-logistic model was employed as the best parametric model which could explain survival times. The hazard rates of the poor and the medium prognosis groups were respectively 13 and 3 times greater than in the good prognosis group. Also, the difference between the overall survival rates of the poor and the medium prognosis groups was highly significant in comparison to the good prognosis group. Use of the parametric log-logistic model - also a proportional odds model - allowed assessment of the natural process of the disease based on hazard and identification of trends.

• Journal of the Korean Society of Safety
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• v.28 no.3
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• pp.88-94
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• 2013

In university laboratories, areas of studies are becoming diverse and complicated according to the development of the industry. New forms of potential risk factors are increasing and they are unlike existing ones. In addition, many students are conducting various experiments in the laboratory. Therefore, they could be exposed to risk more often. Despite these risks, people do not recognize university lab safety activities properly and observe safety precautions. They are exposed to various laboratory accidents continually. In this study, we do not apply the present diagnosis method, checklist, but the safety assessment that is widely used in industry. Then we can find lots of hazard that checklist method could miss. This study will use the 4M and Hazard & Operability to design a new Laboratory safety assessments method.

• Tunnel and Underground Space
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• v.18 no.4
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• pp.272-279
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• 2008

This paper describes the development of a simple and quantitative subsidence hazard estimation method appropriate to Korean coal mines using gangway depth information only. In spite of simpleness of estimation method, this new method gives good results close to those obtained using influence function method when applying to a virtual rectangular excavation model and to a closed mine where actual subsidence occurred. Therefore, this method can be effectively applied to the identification of zones liable to subsidence over closed coal mine in Korea where the shape of extraction is very complex and usually unknown.

• Journal of Applied Reliability
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• v.13 no.4
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• pp.287-298
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• 2013

This paper presents a case study of PSD(Platform Screen Door) system assurance based on EN50126 life-cycle stage. By applying this system assurance, the accidents related to urban light transit railway especially that caused casualties could be reduced tremendously. This case study contributes significantly to the reliability, availability, maintainability and safety of the PSD system. Request For Proposal (RFP) of a rail road operator in which required by RAMS is prepared in which to ensure all system assurance activity and safety assessment are compulsory. The step-by-step activities and related deliverables are used which include functional analysis, FMECA, hazard identification analysis, system hazard analysis, maintainability analysis, FRACAS, and finally verification and validation of the system.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1016-1022
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• 2007

It is demanded to produce the safety evidence documents in other to approval safety characteristic of railway signaling system which stands is included, it is demanding from IEC 62425 standards. Also it is express clearly that safety assessment if signaling system has to be verification of these safety evidence documents. This Safety Case has the results of safety activity through system life-cycle, such as hazard lists, hazard identification and analysis, risk assessment and countermeasure, verification and test results. Consequently, first of all, the analysis and verification of these Safety Case documents has to be accomplished to approval and acceptance of signaling system safety. And also if the safety assessor was want, it is able to be experimental test auditory which is, arbitrary faults injection test, to above described documents verification. In this paper, the contents and architecture of Safety Case are presented as first steps of safety assessment technology establishment for railway signaling system.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.20 no.1
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• pp.13-18
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• 2012

'Navigable airspace' means an airspace at and above the minimum safe flight level, including airspace or flight procedures needed for safe takeoff and landing. Airspace may be established as needed and may be abolished, and in some cases may be limited to airspace management. These are absolutely based on risk assessment. Safety is the state in which the risk of harm to persons or of property damage is reduced to, and maintained at or below, an acceptable level through a continuing process of hazard identification and risk management. 'Risk' is the assessed potential for adverse consequences resulting from a hazard and 'Risk assessment' involves consideration of both the frequency and the severity of any adverse consequence. This paper proposed 'risk assessment procedure' for the structural changes of Navigable Airspaces through literature reviews relevant to manuals on airspace management and risk management.

• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.9-9
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• 2000

For the planning of future land use for economic activities, an essential component is the identification of the vulnerable areas for natural hazard and environmental impacts from the activities. Also, exploration for mineral and energy resources is carried out by a step by step approach. At each step, a selection of the target area for the next exploration strategy is made based on all the data harnessed from the previous steps. The uncertainty of the selected target area containing undiscovered resources is a critical factor for estimating the exploration risk. We have developed not only spatial prediction models based on adapted artificial intelligence techniques to predict target and vulnerable areas but also validation techniques to estimate the uncertainties associated with the predictions. The prediction models will assist the scientists and decision-makers to make two critical decisions: (i) of the selections of the target or vulnerable areas, and (ii) of estimating the risks associated with the selections.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.1113-1125
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• 2008

In this paper we present a RAMS to be applied to the development of the Urban Maglev Train Signalling System. The RAMS that can be applied to the life cycle of a Signalling system, from the basic design to the dismantlement, shows the whole process of the paper work in detail through the establishment of a goal, analysis and assessment, the verification. In this paper we study about the making a plan, the preliminary hazard analysis, the hazard identification and analysis to guarantee the safety of the Signalling System. The process for the verification of the system safety is divided into several steps based on the target system and the approaching method. The guarantee of the system safety and the improvement of the system reliability is followed by the recommendation of the international standards.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.9-15
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• 2023

The Severe Disaster Punishment Act had recently been established in order to promote safety and health (OSH) management system for severe accident prevention. OSH management system is primarily designed based on risk assessments; however, companies in industries have been experiencing difficulties in hazard identification and selecting proper measures for risk assessments and accident prevention. This study intended to introduce an accident analysis method based on epidemiological model in finding hazard and preventive measures. The accident analysis method employed in this study was proposed by the U.S. Department of Energy. To demonstrate the effectiveness of the accident analysis method, this study applied it to two accident cases occurred in construction and manufacturing industries. The application process and results of this study can be utilized in improving OSH management system and preventing severe accidents.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1998.10a
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• pp.439-446
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• 1998

One of the most important roles in the nonlinear dynamic structural analysis is to select a proper ground excitation, which dominates the response of a structure. Because of the lack of recorded accelerograms in Korea, a stochastic model of ground excitation with various dynamic properties rather than recorded accelerograms is necessarily required. If all information is not available at site, the information from other sites with similar features can be used by the procedure of seismic hazard analysis. Eliopoulos and Wen identified the parameters of the ground motion model by the empirical relations or expressions developed by Trifunac and Lee. Because the relations used in the parameter identification are largely empirical, it is required to apply the artificial neural networks instead of the empirical model. Additionally, neural networks have the advantage of the empirical model that it can continuously re-train the new recorded data, so that it can adapt to the change of the enormous data. Based on the redefined traditional processes, three neural-networks-based models (FAS_NN, PSD_NN and INT_NN) are proposed to individually substitute the Fourier amplitude spectrum, the parameter identification of power spectral density function and intensity function. The paper describes the first half of the research for the development of Neural-Networks-based model for the generation of an Artificial earthquake and a Response Spectrum(NNARS).