• Proceedings of the Safety Management and Science Conference
• /
• 2008.04a
• /
• pp.273-282
• /
• 2008

To application Arrhenius model for OLED's lifetime, it's needed in high temperature test. Because OLED's character is changed in high temperature, it's important to find limit temperature. We found out $40^{\circ}C$ is proper temperature by result of tests. But that is not enough acceleration to apply in practical affairs. We find new stress to get a bigger accelerated constant.

• Proceedings of the Safety Management and Science Conference
• /
• 2006.11a
• /
• pp.85-89
• /
• 2006

The main objective of this study is to propose numerical guideline for the improvement of educational environment about high school girls. In order to analyze feature of the somatotype of the high school girls, analysis of this study was performed about 25 body parts such as height(7 parts), width(4 parts), thickness(4 parts), circumference(5 parts), length(4 parts), and body weight. For the specific comparison on body dementions, Mollison's comparison graph were used.

• 한국연소학회:학술대회논문집
• /
• 2014.11a
• /
• pp.331-332
• /
• 2014

Underground power plant is required the strict safety management and safety assessment. Because it is the high risk of explosion by characteristic of enclosed space. In case gas leak of enclosed space, the ventilation facilities is very important in order to prevent explosion by the maintain less than the LEL(lower explosive limit). Thus, Through a safety assessment of ventilation volume is to reduce the risk for ventilation facilities in Underground power plant.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2007.04a
• /
• pp.83-88
• /
• 2007

• Proceedings of the KSR Conference
• /
• 2008.06a
• /
• pp.181-187
• /
• 2008

In 2004, railway safety law was established since intimidatory factors have increased for railway industry, such as high speed rail, urban transit extension, induction of new transportations. The projects for safety system establishment and guidelines are performed including the safety guidelines for station and platform. Therefore, in this study the safety rules are examined through investigation for stations

• Economic and Environmental Geology
• /
• v.56 no.6
• /
• pp.887-897
• /
• 2023

Leading waste disposal countries, such as Sweden, Switzerland, and the United Kingdom, conduct safety assessments across all stages of High-Level Radioactive Waste Deep Geological Disposal Facilities-from planning and site selection to construction, operation, closure, and post-closure management. As safety assessments are repeatedly performed at each stage, generating vast amounts of diverse data over extended periods, it is essential to construct a database for safety assessment and establish a data management system. In this study, the safety assessment data management systems of leading countries, were analyzed, categorizing them into 1) input and reference data for safety assessments, 2) guidelines for data management, 3) organizational structures for data management, and 4) computer systems for data management. While each country exhibited differences in specific aspects, commonalities included the classification of safety assessment input data based on disposal system components, the establishment of organizations to supply, use, and manage this data, and the implementation of quality management systems guided by instructions and manuals. These cases highlight the importance of data management systems and document management systems for securing the safety and enhancing the reliability of High-Level Radioactive Waste Disposal Facilities. To achieve this, the classification of input data that can be flexibly and effectively utilized, ensuring the consistency and traceability of input data, and establishing a quality management system for input data and document management are necessary.

• Fire Science and Engineering
• /
• v.15 no.1
• /
• pp.75-83
• /
• 2001

It has been recognized that the evacuation planning is very important for effective evacuation of occupants on fire event. However the present evacuation planning and regulation for fire safety usually tend to meet the minimum requirements based on the existing laws and regulations. The ultimate goal of the evacuation planning is evacuate occupants rapidly from building fires to the safe areas. In this study, First, analyzed occupants load density and occupants characteristics in high-rise apartment buildings, Second, A evacuation safety performance of high-rise apartment buildings was analyzed with various typical floor plans. The purpose of this study is to figure out the evacuation characteristics in high-rise apartment buildings and improve countermeasure through comparative study on the Evacuation regulation and floor plans for High-rise Apartment buildings.

• Journal of the Korean Society for Railway
• /
• v.9 no.5 s.36
• /
• pp.544-549
• /
• 2006

The characteristics of dynamic vibration are generally analyzed by an acceleration of a car body of high speed train and the acceleration can be applied to evaluation of running safety. The test of process and the analysis method about it are well explained on UIC Code 518 OR which is the spacial international standard about running safety and dynamic behavior on the line test for railway vehicle. Korean High Speed Train designed to operate at speed 350km/h has been tested on high speed line since it was developed in 2002 and it recorded the highest speed 352.4km/h at the 16th Dec. 2004 in Korea. This paper includes the analysis of running behavior of this train at speed 350km/h and the analysis of dynamic safety is presented in it, extending to the range of high speed while the UIC 518 limit the speed below 200km/h.

• Nuclear Engineering and Technology
• /
• v.53 no.4
• /
• pp.1345-1356
• /
• 2021

Damage to nuclear power plants causes human casualties and environmental disasters. There are electrical facilities that control safety-related devices in nuclear power plants, and seismic performance is required for them. The 2016 Gyeongju earthquake had many high-frequency components. Therefore, there is a high possibility that an earthquake involving many high frequency components will occur in South Korea. As such, it is necessary to examine the safety of nuclear power plants against an earthquake with many high-frequency components. In this study, the shaking table test of electrical facilities was conducted against the design earthquake for nuclear power plants with a large low-frequency components and an earthquake with a large high-frequency components. The response characteristics of the earthquake with a large high-frequency components were identified by deriving the amplification factors of the response through the shaking table test. In addition, safety of electrical facility against the two aforementioned types of earthquakes with different seismic characteristics was confirmed through limit-state seismic tests. The electrical facility that was performed to the shaking table test in this study was a motor control center (MCC).

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.5
• /
• pp.1597-1610
• /
• 2022

At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.