• Proceedings of the KSR Conference
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• 2008.06a
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• pp.796-805
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• 2008

Safety Management of Korean railway industry has been rapidly changed into a risk-based approach adopted by developed countries since Railway Safety Act 2004, Rolling Stock Risk Assessment Guidance and its following regulations came into force. The fundamental requirements for the risk-based safety management is to carry out a systematic hazard identification and quantified risk analyses including cost-benefit analyses, but there has been rare a serious discussion over risk acceptance criteria and value of life in order to be able to judge the results of risk analyses and carry out cost-benefit analyses. This study presents the results of a review of risk acceptance criteria and value of life which may be adoped to Korean railway industry through the analyses with comparison of risk accepatnce principles and risk accepatnce criteria which have been already applied to other countries or other railway operators.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2003.05a
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• pp.635-639
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• 2003

When we carry out acoustic holography, step-by-step measurement provides us larger aperture size with same number of microphones. But when we carry out step-by-step measurement, it is blown that sound signal must be stationary. However, when transfer function between input and output signal is time-invariant, we can apply step-by-step measurement to acoustic holography even if sound signal is transient We have to do only some Processing on signals from step-by-step measurements to make the signal data of each step compatiable with other steps. This paper accounts for that processing method.

• Perspectives in Nursing Science
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• v.14 no.1
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• pp.32-36
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• 2017

Purpose: The purpose of this study is to analyze the factors influencing students' active practice in clinical nursing education and to find ways to improve them. Methods: In this study, the factors affecting students' practice in nursing clinical practice were reviewed and their opinions were discussed. Results: A limited clinical practice environment, lack of a role model of leading and independent nurse interferes with the active practice of nursing students and negatively affects the image of nurses. On the other hand, semantics that links practice to students'life supports active practice. Conclusion: Clinical practicum educators should actively carry out the role of introducing students to rational of their practice, and arrange meetings with nurses and students who carry out nursing care independently with leadership. In addition, the clinical nursing education should include courses that allow students to discuss the various issues they have in the nursing practice.

• Proceedings of the Korean Geotechical Society Conference
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• 2008.10a
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• pp.827-830
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• 2008

In this study, large triaxia mpression tests of sand-gravel soils were carry out to clarify the influence of fines on shear strength characteries. Two soil specimens with/without fines that is used for construction material of dam were prepared. One was reproduced with wide range of grain size and the other was removed fines below 2mm from the one. The compaction tests proposed by our center were performed to obtain relative density of the specimens, and then each specimen was adjusted two dry density. The large triaxial compression tests were carry out under CD condition. Based on the results, the sand-gravel soils with low fines content has no effect on shear strength characteries.

• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.260-264
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• 1998

In this paper, we implemented the neuro-computer called MY-NEUPOWER in our research to carry out the artificial neural networks (ANN) calculating. An application software was developed based on a neural network using back-propagation (BP) algorithm under the UNIX platform by the specified computer language named MYPARAL. This neural network model was used as an auxiliary controller in the temperature control of sinter cooler system in steel plant which is a nonlinear system. The neural controller was trained off-line using the real input-output data as training pairs. We also made the system description of adaptive neural controller on the same temperature control system. We will carry out the whole system simulation to verify the suitability of neural controller in improving the system features.

• Journal of Applied Reliability
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• v.3 no.2
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• pp.103-116
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• 2003

We carry out reliability tests and investigate the failure mechanisms. of the wafer level vacuum packaged MEMS gyroscope sensor using an accelerated degradation test. The accelerated degradation test (ADT) is used to evaluate reliability (and/or life) of the MEMS vacuum package and to select the accelerated test conditions, which reduce the reliability testing time. Using the failure distribution model and stress-life model, we are able to estimate the average life time of the vacuum package, which is well agreed with the measured data. After improving several package reliability issues such as prevention of gas diffusion through package, we carry out another set of accelerated tests at the chosen acceleration level. The results show that reliability of the vacuum packaged gyroscope has been greatly improved and can survive without degradation of performance, which is the Q-factor in gyroscope sensor, during environmental stress reliability tests.

• Journal of Agricultural Extension & Community Development
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• v.28 no.4
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• pp.175-190
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• 2021

Self-efficacy and social supports are important variable influencing adjustment to college life. This study aims to identify the factors influencing adjustment to college life. Data were collected from 265 usable questionnaires among college students in Pyeongtek University. Results of a factor analysis yielded three dimensions of self-efficacy which were ability to start promotion/ social ability/ ability to carry out activities/ability to overcome hate experiences/ social sustainability. And results of factor analysis also yielded three dimensions of social supports which were family, friends, and professor supports. Hierarchical regression analysis revealed that social ability/ ability to carry out activities/ability to overcome hate experiences and all of social support factors affected significantly for adjustment to college life. And female and attitude for students' major had a positive affect on adjustment to college life. Results suggested that self-efficacy, social supports, and aptitude for students' major should be considered in college management policy.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.05a
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• pp.157-158
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• 2021

Recently, there have been a growing number of cases using precast concrete construction methods to efficiently carry out construction projects. In order to efficiently carry out PC construction, it is necessary to establish a production plan of PC components that effectively reflect various design alternatives during the initial design stage. Because the production plan of PC components is based on productivity of PC members, the use of PC production simulations that can effectively predict productivity for design alternatives is necessary. Therefore, this paper propose a method to efficiently generate design alternatives which is necessary to perform to production simulations using parametric modeling techniques and BIM.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.91-92
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• 2022

The construction industry is highly dependent on human resources and changes the degree of completion of construction work depending on the level of performance of engineers. As women's social advancement has recently expanded, the construction industry is also experiencing a large influx. Therefore, it can be seen that not only male engineers' ability to carry out work but also female engineers' ability to carry out work is important. Therefore, this study investigated the actual work conditions and work performance capabilities of female engineers and presented them as basic data for the construction of work capability improvement measures.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.88-97
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• 2023

Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.